The Best Pre-Workout Supplement [Not] on the Market

The ultimate pre-workout supplement does not exist yet.  Ideally, it would be a combination of both energy boosting, as well as cognitive awareness, properties in a very potent blend.  

You should be able to, not just power through your workout, but focus intensely the entire time on the task at hand.

On the biochemical level, the supplement should provide adipose tissue mobilization, glucose allocation, and ATP regeneration/maintenance.  

The following is my proposed blend.  At the core level it will provide the following: a noticeable improvement in cognitive awareness, increased muscular energy and endurance, increased muscular protein synthesis, production of ATP, enhanced ability to allocate glucose from lactic acid and muscle glycogen, reduction in exercise-induced oxidative stress, and increased fat-tissue mobilization. 

List of Components:

A.    D-Ribose.

B.    Vitamin B12.

C.    Vitamin B6.

D.    Taurine.

E.    BCAAs

a.     L-Leucine.

b.    L-Isoleucine.

c.     L-Valine.

Breakdown of Components:

A. D-Ribose.

RIBOSE 

-       Monosaccharide.  Simple carbohydrate.

-       High Water Solubility.

-       Comprises the backbone of RNA.  Nucleotide production.

-       ATP-producing.  Adenine = one molecule of adenine + 5-carbon D-Ribose. 

o   Under exercise stress, the cell has a much higher concentration of ADP and AMP compared to ATP because the body becomes hampered in recreating more ATP at a quick enough rate to compensate for the decrease. 

o   Reduction in adenine nucleotide pool. 

o   D-Ribose aids in restoring/maintaining the ATP/ADP/AMP ratio balance.

-       D-Ribose + Creatine work together to recycle ADP into ATP.  Creatine supplies the extra phosphate. 

Recommended Dosage850-1000 mg

B.  Vitamin B12.

B12

-       Extremely low toxicity.  Can be taken in enormous quantities and synthesized by the body without harmful side effects. 

-       Cyanocobalamin.  The synthetic form used for nutritional supplements.  Cheaper. 

-       Crucial for neuronal functioning.  The “awareness” aspect of the cocktail. 

Recommended Dosage:  2000-8000 % DV

DV = 2.4 mcg

C.  Vitamin B6.

B6

-       Necessary for the enzymatic reaction governing the release of glucose from lactic acid (gluconeogenesis). 

-       Effective in regulating proper use of glycogen for energy during exercise. 

-       Amino Acid metabolism

-       Neurotransmitter Synthesis.

o   Epinephrine

o   Norepinephrine

o   GABA – responsible for regulation of muscle tone.

o   Serotonin

Recommended Dosage:  800 – 2000 % DV

DV: 100 mg

D.  Taurine.

taurine

-       Essential for cardiorespiratory function.

-       Essential for function of skeletal muscle.  As well as retina and central nervous system. 

-       Crosses the blood-brain-barrier. 

o   Implicated in LTP and membrane stabilization (learning & memory.)

o   Adipose tissue regulation.

o   Ca2+ homeostasis – healthy bones.

-       Acts as an antioxidant. 

o   Has been shown to prevent oxidative stress induced by exercise.

o   Lowers blood cholesterol levels.

o   Has been shown to influence weight loss in clinical studies. 

Recommended Dosage: 50 – 400 mg

E. BCAAs

1.    L-Leucine.

leucine

-       Only dietary amino acid that has the capacity to stimulate muscle protein synthesis. 

2.    L-Isoleucine.

isoleucine

-       Glucogenic.  See gluconeogenesis.

-       Ketogenic.  Can be used in synthesis of ketone bodies – fatty acids.

3.    L-Valine. 

valine

Apoptosis



imageToday’s post is going to focus on cell deathand pruning.  We are going to walk through the progressive and regressive processes that take place during brain development. 

Some progressive events that take place during neuronal development include proliferation, axon guidance, and synapse formation.  Regressive events include apoptosis and axonal/dendritic/synaptic pruning.  Let’s first take a look at the latter. 

Both apoptosis and pruning are critical processes that sculpt the developing brain. 

What are some factors that affect the survival of neurons during development? 
Soluble factors include glia-derived and target-derived (retrograde) factors.  We also see afferent-derived (anterograde) factors, as well as hormones. 

Types of cell death:
1.  Apoptosis: Leads to morphologic changes then cell death.  These changes include blebbing, loss of cell membrane asymmetry and attachment, cell shrinkage, nuclear fragmentation, chromatin condensation, and chromosomal DNA fragmentation. Unlike necrosis, apoptosis produces cell fragments called apoptotic bodies that surrounding cells are able to engulf and quickly remove before the contents of the cell can spill out onto surrounding cells and cause damage.*


image2.  Necrosisthe premature death of cells and living tissue. Necrosis is caused by factors external to the cell or tissue, such as infection, toxins, or trauma. This is in contrast to apoptosis, which is a naturally occurring cause of cellular death. While apoptosis often provides beneficial effects to the organism, necrosis is almost always detrimental and can be fatal.*


Cell death machinery was first identified in C. Elegans.  With a total of only 959 cells, researchers found that 131 cells die during pruning, 26 of which are neurons.  Protein synthesis was crucial in determining whether a cell lived or died.  Anti-apoptotic proteins include Bcl-2 and Bcl-x.  Pro-apoptotic proteins include Bax, Caspase-9, Caspase-3, Apaf-1, and Cytochrome c.

Survival factors are NGFs, nerve growth factors, that aid in the survival of the cell.  Kind of self-explanatory.  Neurotrophin signaling activates anti-apoptotic genes and leads to survival.  From Wikipedia, “They [neurotrophins] belong to a class of growth factorssecreted proteins that are capable of signaling particular cells to survive, differentiate, or grow. Growth factors such as neurotrophins that promote the survival of neurons are known as neurotrophic factors. Neurotrophic factors are secreted by target tissue and act by preventing the associated neuron from initiating programmed cell death - thus allowing the neurons to survive. Neurotrophins also induce differentiation of progenitor cells, to form neurons.”


Netrin-signaling is also anti-apoptotic.  


Sema/Plexin signaling is pro-apoptotic. 


As mentioned earlier, hormones also play a role in regulating cell death.  Metamorphosis in vertebrates and invertebrates is hormonally-regulated tissue deconstruction, associated with massive cell death and neuronal pruning.  Researchers have found evidence to suggest sexual dimorphism in circuits with regards to hormones.  One major study to show this involved bird mating songs.  They found that more neurons in the male birds were dedicated to mediating song acquisition compared to the females. Interestingly, they could induce masculinization of the female via injection of male-specific hormones.  


Neuronal Pruning: Pruning is a strategy often used to selectively remove exuberant neuronal branches and connections in the immature nervous system to ensure the proper formation of functional circuitry.  It can be small-scale and large-scale.  Small-scale pruning includes axosome shedding, lysosomal activity, activity-dependent pruning, and stochasticity.  You will see it in muscle cells and Purkinje neurons.  
Large-scale pruning is stereotyped/developmentally-regulated as well as activity-dependent.  


Take-away from this post:
1. Factors regulating axonal pruning:
- neural activity
- hormones
- guidance molecules - sema/plexins
- cohesin, ubiquitin-proteosome machinery, regulators of cytoskeletal dynamics, tx factors, caspases, RNA-binding proteins
2.  Regulation of regressive processes during neuronal development: Cross-talk between guidance mechanisms and cell death machinery
- guidance molecules as regulators of neuronal cell death
- cell death machinery (proteases, proteoltyic/lysosomal pathways) involved in axonal pruning.
- Pruning - local death of a neurite?  Cell death machinery is regulated by guidance cues.  


Ehhh, that was a long one.  
*Wikipedia

Tick, tock, tick, tock….

What exactly is time perception?
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 In an age-old debate, philosophers and scientists alike have had a difficult time pinpointing what it means to perceive time.  Unlike shape perception, color perception, depth perception, pitch, volume, and motion perception, time perception does not involve any one sense.  There are no specific sensory receptors associated with it; it is ephemeral and invisible.  Do life forms possess some special capacity, independent of the original five senses that exists solely to perceive time?  Or do we integrate perceptual knowledge through the senses to paint of picture of time?
            
Some suggest that we do not actually perceive time itself; instead, we perceive events or changes in temporal space and how they relate to one another.  In his seminal paper Time Perception, Ernst Poppel explains that there are a number of elementary aspects of time that fundamentally contribute to how we perceive it: duration, non-simultaneity, order, past and present (tense), and change.   These fundamentals are concerned with time itself, how it is structured and how that subsequently leads us to experience it.  In relation, R.A. Block, identifies four factors that give us the context within which to perceive time: characteristics of the time experiencer, time-related behavioral judgments, contents of a time period, and activities during a time period.  
When considered together, Poppel and Block’s arguments provide a robust, yet complicated, picture of what time is and why we perceive it in different ways.  The faculties needed to fully consider the relationship between time and the perceiver are complex; the interrelatedness between each factor spins an intricate web.  
If one factor changes in some way, another is bound to be affected.  Just some food for thought.  Don’t spend too much time thinking about it. 

(Source: nogym.net)

Axon Guidance & the Establishment of the Olfactory System

Back for some more neuroscience.  Today we are going to look at axon guidance, how it is achieved, and what determines whether guidance cues are short or long range, attractive or repulsive. 

First off, what is axon guidance?  Axon guidance is the process by which developing neurons send out their axons to reach targets; the axons follow certain paths to the correct target.  We are going to look at how they manage to accurately reach their target. 

An axon’s growth cone, the motile tip of a growing axon, acts as a sensory vehicle, detecting cues in the extracellular environment and then reacting appropriately to those cues.  Guidance cues can either attract or repel the axon.  When the growth cone senses the guidance cues, it activates a series of intracellular cascades that ultimately lead to a change in the cytoskeletal structure of the neuron. 

What kinds of molecular cues will an axon encounter?  There are several, and they can be grouped into two categories: Short vs. Long-range, and Attractive vs. Repulsive. 

The axon will experience both attractive and repulsive cues many times over many different ranges.  Contact attraction and repulsion  is generally associated with short-range cues via surface proteins.  Chemoattraction and repulsion is more generally associated with a longer range.  Chemical signals are secreted and diffused within a distance of about 100-500um. 

A good example of a class of repulsive guidance cues is the semaphorins.  They act as axon repellents by activating complexes of cell-surface receptors called plexins and neuropilins (class 3) and integrins (class 7).








Now we are going to examine an interesting and important case, crossing the midline.  One of the most crucial periods of human brain development involves axonal crossing of the midline, the forming of the corpus collosum, the nerve bundle connecting the two hemispheres of the brain, allowing for neural communication from one side to the other. 

Kim Peek (the real-life “Rain Man”), a mega-savant, was born with agenesis of the corpus collosum and a missing anterior commisure.  His reading technique consisted of reading the left page with his left eye and the right page with his right eye.  He could therefore read two pages at a time, covering them at a rate of 8-10 seconds per page.  He could recall exact information when asked directly. So why couldn’t one side of Kim’s brain communicate with the other?  The decision to cross or not cross the midline is critical.  Let’s take a closer look.

There are three very important steps in midline crossing:
1. Getting to the midline
2. Crossing it once
3. Moving on in the opposite hemisphere

Getting to the midline.  The commisural axons get to the midline via chemoattractant guidance cues. The floor plate plays an integral role in attracting the axons via emission of netrins, guidance proteins.  Sonic HeadgeHog (Shh) also acts to guide axons toward the floor plate. Netrins secreted by the floor plate cells function to bind the axon receptor DCC in a chemotactic manner. 

Crossing it once.  A study examining the ventral nerve cord of the fly (Goodman) found that axons cross the midline through the anterior commisure (AC) or posterior commisure (PC).  Wild-type fly axons crossed the midline once and left, continuing in their development in the opposite hemisphere.  However, researchers found 3 mutants that acted to disrupt the system: slit, robo, and comm.  Slitflies saw axons remain in the midline.  Roundabout (robo) flies saw axons cross the midline, only to recross back into the original hemisphere.  Commisureless (comm) flies saw no crossing of the midline.       

Moving on.   Once across, the axons generally have a decent rate of success in moving on.  Researchers have also come up with ways to switch on certain cues at different points in the process, enabling them to “choreograph” the sequence in different ways. 

What are the challenges for axon guidance in setting up the olfactory system?

An incredible example of precise axonal guidance is the axonal convergence of olfactory sensory neurons (OSNs) expressing a given odorant receptor (OR) onto spatially invariant glomeruli.  Evidence suggests that both guidance molecules and ORs play integral roles in the process.  Each OSN expresses a single type of OR.  In mice, the genome encodes around 1000 OR genes.  ORs are 7-transmembrane G-protein coupled receptors.  There are about 1 mil OSNs, each of which express 1 of the 1000 OR genes.  Therefore, on average, there are 1000 neurons expressing the same OR in the olfactory epithelium.  Neurons expressing the same OR are scattered in one of the zones in the epithelium. 

Upon reaching the olfactory bulb, axons usually converge on one or two glomeruli.  There are around 1800 glomeruli, each of which has a topographically-fixed, invariant location in the olfactory bulb.  This means that somehow the axons sort, converge, and target the same glomerulus in the olfactory bulb with incredible precision.  Researchers have also found that swapping OR with B-adrenergic receptors also enables convergence of axons onto the glomeruli.  Pre-sorting of ORNs in the bulb depends on the level of cAMP generated by odorant (Sakano’s model). 

Glial Glial Glial

Glial cells… the most common type of cell in the nervous system. 

Glia comes from the Greek word for glue.  Glial cells act as nervous system adhesives, keeping everything together and working properly.  They are non-excitable cells, which obviously means they do not produce action potentials.  This, in my opinion, is why neurons get all the attention, even though glial cells outnumber nerve cells many magnitudes over. 

You’ll find several types of Glia in the CNS. 
1.  Oligodendrocytes (Schwann Cells in the PNS) act to sheath axons with myelin.
2.  Microglia, the guardians of the brain, are activated during an infection and after damage.  They are kind of like the janitors, cleaning up the mess. 
3.  Astrocytes are the most common glial cells.  If I remember correctly, they make up 90% of all glial cells. 

* I mentioned Schwann Cells briefly.  They can be myelinating or non-myelinating.  The non-myelinating type sits around the NMJ, providing necessary trophic support, regulating the function of the synapse. 

Microglia:

These guys are the resident immune cells.  They are immediately activated post-injury, and are therefore hyperactive during neurodegenerative disorders.  Researchers think they may play a role in development as well. 

Oligodendrocytes:

These are the myelinating cells.  They originate from the same stem cells as astrocytes and are implicated in demyelinating diseases such as MS.  Myelin proteins are known inhibitors of axon regeneration. 

Astrocytes:


Astrocytes allow us to have a glialcentric view of the nervous system as well as a neurocentric one.  What do astrocytes do during neural development, exactly?  Just a few of the findings are as follows:
* RGCs can be cultured in the absence and presence of glia
* Glia increase synaptic activity
* Soluble signals released by astrocytes induce an increase in synapse numbers on RGCs
*Purified thrombospondin is sufficient to increase synapse numbers to the ACM levels
* TSP 1 and 2 expression is developmentally regulated. 

So what are Thrombospondins
They are proteins with antiangiogenic (inhibits the growth of new blood vessels) abilities.  The acronym is TSP.  TSP 1 and 2 are expressed by developing astrocytes, with TSP4 being expressed at the NMJ.  They regulate cell attachment, the cytoskeleton, migration, and of course angiogenesis. 

But most importantly, they are synaptogenic, meaning they induce synapse formation.  Synaptogenic function is mediated through an EGF-like domain.  The drug Gabapentin specifically blocks synapse formation induced by TSP, by the way.  Drugs like this (Neurontin and Lyrica) are used to treat chronic pain and epilepsy, but their actual mechanism of action is unknown.  I’m pretty sure they were developed with the intention of blocking the Ca2+ channel subunit that acts as the receptor for Gabapentin & Pregabalin (*note the GABA theme here) but didn’t end up doing the specific molecular action that the scientists initially desired (isn’t this how basically every drug is developed, as a failure turned multi-billion dollar miracle pill?  read…Viagra). 

Asymmetric Cell Division & Neural Stem Cells

This post will examine several things:
1.  What are stem cells? and what is ACD?
2.  What are the important features of ACD?
3.  Examples from model organisms.
4.  Diseases.

There are many different types of stem cells in our bodies.  Stem cells go on to produce specific cell populations in development.  For example, the ectoderm gives rise to neural stem cells which proliferate into neurons, skin, hair, and the mammory glands. 

Stem cells have several properties.  First, they must be able to self-renew.  Second, they must possess a certain potency.  That is, they need to have the ability to divide to produce differentiated cells.  Totipotent stem cells can go on to produce every type of cell.  Pluripotent and multipotent stem cells are more limited in the cell populations that they can proliferate into, but they can still give rise to a large diversity of different cell populations. 

Asymmetric cell division is the division of one cell that gives rise to two cells with different fates.  Normal cell division gives rise to two cells of equivalent fates.  Stem cells divide asymmetrically, giving rise to two distinct daughter cells, a copy of the original stem cell as well as another daughter with a non stem cell fate. 
Centrosomes and the mitotic spindle play a key role in whether cells differentiate from the stem cells or not. 

So how do stem cells divide?  Well, several factors come into play.  First, polarity cues provide the signal to divide or not.  There are both intrinsic and extrinsically-activated cues.  We also have asymmetrically localized determinants - cell polarity determinants and fate determinants.  Some common fate determinants are proteins (Numb being a key protein in determining neuronal fate), RNA, DNA, asymmetric phosphorylation, and organelles.  Mitotic spindle apparatus orientation also plays a big role.

Steps in ACD:
- Interphase: Setting up axis of cell/ Polarity cues
- Pro-metaphase: fate determinants segregated
- Metaphase: Mitotic spindle orients in cell
- Telophase: light coordination segregates components to different cells.

We can study stem cells in most of the common model organisms.  For example, big strides are being made in stem cell research in C. Elegans, yeast, C. Cerevisae, Drosophila, and mice (neural stem cells).

Neural stem cells function to produce neurons.  You can find them in both the PNS and the CNS.  They can include both pluripotent stem cells and multipotent progenitor cells.  And they can be found both during development and during adult homeostasis, interestingly enough.    

That Tasty Taste: The rise of Obesity in America - Why it’s ACTUALLY happening

Food addiction is real; and it is making America FAT. 


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At 5 foot 9 inches and 300 pounds, Deke Baskins is sadly a perfect representative of 30 percent of the American population, or around 90 million obese people. A staggering 67 percent of Americans are considered overweight (Puhl, 2011). Deke is a self-professed food addict. “[Food is] powerful; it’s like a narcotic, man. It’s gotta be a tasty narcotic to get a man like this (referring to his physical state)” (Leahy, 2004). Deke’s weight-related plights mirror those of many millions of today’s Americans.
  
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Excessive food consumption is a relatively common phenomenon in Western society. Much of it appears to occur seasonally, especially around traditional and festive holidays or family gatherings, but an increasingly larger constituency of individuals are growing up with constant exposure to mammoth quantities of low-quality food: what once constituted a binge is now a regular meal. And with the ease-of-access to highly-processed, highly-palatable foods in the supermarket and on the street corner, excessive caloric intake has become habitual for many Westerners and has seemingly led to what many health professionals refer to as the “Obesity Epidemic.” Some have made the arguments of high fat, sugary, or salty foods as being “addictive” (Cocores & Gold, 2009) or having “addictive qualities,” what Deke refers to as “that tasty taste” (Leahy, 2004). However to make the blanket statement that obesity in general is an addiction would clearly be inappropriate. Obesity is merely a symptom, the result of an addiction. An addiction, as defined by Webster’s New World Medical Dictionary, is “a chronic relapsing condition characterized by compulsive drug-seeking and abuse and by long-lasting chemical changes in thebrain.” The key word we want to focus on for now is compulsive. Until recently, the word “addiction” has been solely used as a descriptor for drug-abuse. In recent decades however, medical professionals and the general public alike have both begun questioning this and proposing theories regarding the addictive properties of food on a widespread level. It is important to note that not every case of obesity involves compulsion. 

Some people, like Davis and Carter (2009) hold the view that overeating for many is a passive event, occurring “almost without awareness”. It has become habitual, manifesting itself in the forms of snacking and frequent consumption of large portion sizes. This near-lack –of- awareness is different than a compulsive drive. These individuals eat large amounts out of habit. Lack of proper nutritional education may also play a small role. The food industry spends over $30 billion a year in advertising, while the government allocates a paltry $2-3 million on nutritional education per annum (Leahy, 2004). Overly large serving sizes are served at nearly every fast food restaurant and every diner in America, and subsidized school lunches make it incredibly easy for the nation’s children to get large quantities of low-quality food for next to nothing. The phrase “get more for your money” is hardwired into the consumer mindset, and has become the motivator for a cut-throat food-service industry, to the detriment of consumer health. However, saying that overeating is purely passive is a gross under-recognition of the power behind the chemical reactions taking place in the brain. For many, the consumption of certain foods is driven by compulsion. We must remember that cravings drive choice. Very large populations of Americans are dissatisfied with their bodies and their nutritional choices on a day-to-day basis. They make nutritional choices that they know are not optimal and frequently overeat. The diet industry has exploded over recent decades as obesity numbers continue to climb (Ford, 2010). This correlation is no coincidence. Obese sufferers of food addiction have been shown to exhibit a compulsive drive to excessively overeat: most namely, eating even when uncomfortably full and even when doing so will harm them physically and/or psychologically. For example, in a study done by Cassin and von Ranson (2007), 94% of their adult samples classified themselves as “food addicts” or “compulsive overeaters,” meeting DSM-IV substance-dependence disorder criteria. But why do food addicts consume more food, and poorer quality food, than their body requires to function at an optimal level? Is there some inherent quality to modern food that stimulates pleasure-related cortical pathways in some people more than others? Is food really addictive? And how did we get here with regards to the Obesity Epidemic? What cultural movements and modern historical developments caused such a drastic rise in American obesity in such a short period of time?
  

This paper will lay out an exhaustive argument for why compulsive overeating is in fact an addiction, caused by a complex interplay of factors including cultural stressors, lack of nutritional quality in modern food, and human neural maladaptational responses to consumption of these foods. My argument will draw upon myriad medical, historical, and cultural literature for support, and will hopefully shed some light onto the dire condition within which a large percentage of the American population now resides: a condition that, I argue, has contributed greatly to the drastic rise in obesity in the United States over the past few decades. Food addiction and compulsive overeating are sister syndromes, intricately linked; I will therefore refer to them interchangeably. They are not the sole cause for obesity, but they are the major player. Food addiction is the under-addressed, over-responsible culprit implicated in the Obesity Epidemic.
  

Because the obese condition can be reached several ways, and because not all instances of excessive food intake can be regarded as dysfunctional, it would not be suitable to group these two entities into a subclass of addiction. Addiction requires compulsive action and lasting changes on the neural level. Therefore, as a distinct phenotype of obese individuals, compulsive overeaters may very well be classified as “addicts.” 


The dysfunctional behavior and neural maladaptations of compulsive overeaters adhere to DSM-IV criteria and parallel drug-addicted patients sufficiently enough to implicate substance addiction as playing the key role in their non-homeostatic physical and mental states. Food can be addictive. Just as some individuals can recreationally use drugs, many people can casually/passively eat to meet their caloric requirements. However, similar to the compulsive drug-taking and seeking behavior seen in addicts, food inspires compulsive behaviors in a distinct class of individuals, consciously and unconsciously driving their thoughts and actions to the point where homeostasis is no longer an issue: compulsive overeating is an addiction. 

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The DSM-IV defines substance-dependence (addiction) as exhibiting three or more of the following in regards to a substance of abuse, which in this case, is food: tolerance, withdrawal, consuming large amounts over a long period of time, having unsuccessful efforts to stop use or to cut down, time spent in obtaining, thinking about, and consuming the substance replaces social, occupational, and recreational activities, and lastly, exhibiting continued use despite adverse consequences. With this in mind, we can relatively easily classify compulsive overeating as a substance-dependence disorder, or addiction. 


In empirical research, compulsive overeaters display characteristics of developing tolerance; they’ve been found to progressively require more and more food to achieve the desired “drugged” effect (e.g. “the sugar high”) as time goes on (Davis & Carter, 2009). Much of the human evidence of this comes from clinical anecdotes given by the patients themselves. Picot and Linfield (2003) also found that higher body weight correlated with the frequency and severity of bingeing episodes. This may indicate that as level of obesity increases, the disorder worsens. More indirect evidence of tolerance can be found in animal studies. Avena et al. (2008) found that rodents on a high sugar chow diet exhibit addictive-like behaviors, increasing daily sugar intake over a period of 28 days. The rats also exhibit opioid-like withdrawal symptoms when given the opioid antagonist naloxone (3 mg/kg). Symptoms include anxiety, teeth chattering, tremor, head shakes, and a drop in body temperature (Avena et al, 2008) suggesting that natural rewards such as sugar act on similar neural substrates as illicit drugs. In Deke’s words, “I’d go crazy if I didn’t get some of my food” (Leahy, 2004). And with all of the warnings from medical practitioners as well as nutritional education in the public school systems from a young age, it would be absolutely inappropriate to assume that compulsive overeaters were not aware of their behaviors’ adverse affects on their health. They continue compulsive overeating despite awareness of how detrimental it is. Guilt is just one of the many cultural and personal fuels for the fire that is the compulsive overeating cycle. 


In the mid-1980’s, a resonating societal movement was made to impose a “fat-tax” or “Twinkie tax.” The movement and idea were pioneered by Kelly Brownell, a psychologist at Yale University (Gilman, p10). Brownell proposed that a tax be placed on junk foods and snacks in order to discourage individuals from purchasing the items, with hopes that the negative feedback would slow the growth of the obesity epidemic. On a more personal level, guilt about one’s poor eating habits can counter-intuitively become a major reason for eating more and more in attempts to self-medicate a sense of depression or low level of bodily satisfaction. This process can become a difficult cycle to break because of the addictive effect that low-quality (high sugar, high fat) foods can have on the brain. 


Donald Hebb describes eating as being a learned behavior that is reinforcing because it reverses unpleasant bodily signals and comes to be associated with environmental cues which can trigger craving (Hebb, 1949). Just like walking into drug-taking-associated room can elicit physiological responses from an addict, including craving, TV commercials and advertisements, even encountering a stressful environment, can trigger craving for certain foods. Deke (Leahy, 2004) once again sheds some light on the issue at hand, “The world’s hard, you know, man? Stressful. And then somebody says, ‘This food is gonna make you feel good, and it tastes so good, and everybody’s tryin’ it. Why aren’t you tryin’ it?’ Gotta try it!” Food is considered a natural reward. Food, as a substance of abuse, becomes a rather complicated matter because, unlike illicit drugs, food is intrinsically necessary for survival. However, in excess, it can have such adverse effects as to lead to diabetes, heart disease, and consequently, premature death. When viewed through the scope of evolution, food cravings can be seen as a necessary biological mechanism for survival in unpredictable environments. Early hunter-gatherer societies never knew how long it would be before they found their next meal. It was not uncommon to go for days without food, or with very little food. In these cases, the human body has developed in such a way that it will store fat for energy, especially after large meals. When food enters the body and blood glucose levels rise, insulin is released and fat is no longer used as an energy source. The body preserves it for later use. It instead utilizes the energy from the incoming calories, carbohydrate being the most readily consumed. This “fat-preservation” mechanism is what allowed our ancestors to survive for long periods of time between meals. However, in our current nutritional condition, food is readily available. “You can get all the Church’s Chicken you want,” says Deke (Leahy, 2004). Not only that, modern food is also calorically dense, with most processed varieties being high in sugar as well. The steady influx of sugar into the human body keeps blood glucose levels high, never giving it the chance to use fat stores as fuel. Instead, excess fat is stored and over time accumulates until the individual is in the obese state. Many individuals also become insulin resistant, resulting in Type II Diabetes. At some point, a line is crossed. The individual goes from liking food, and guiltlessly enjoying the eating experience, to wanting it and feeling guilty about the experience. 

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So what is the difference between liking and wanting food? And why can making such a distinction help develop a better understanding of compulsive overeating as an addiction disorder? First, to differentiate between the two, liking of food refers to the pleasure one gets from eating the food. Wanting food refers to appetite. Excessive wanting leads to compulsion. There is no doubt that food addicts experience compulsive food-seeking/consuming behavior. But why do they do so, when others don’t? To answer this question, we look to Robinson and Berridge (2000) and their incentive-sensitization theory. According to sensitization theory, the drug/food will have an increased effect on the reward system following repeated doses/eating. Individuals with easily sensitized brains will therefore be more likely to develop an addiction. The critical prediction made by incentive-sensitization is that the brains of addicted individuals will no doubt contain a region or pathway that has been sensitized by drugs, or in our case food. To add to it, sensitization is dose dependent, meaning the higher the dose, the more pronounced the sensitization. Unhealthy meals, such as a Super-Sized Value Meal, and binge episodes may constitute consuming thousands of calories, definitely a large amount of food. Therefore, according to this theory, sensitization would be greatly increased in over eaters. The main point here is that when sensitized, the food/drug ‘wanting’ produces compulsive patterns of seeking-behavior. Herein lies the critical connection. Certain individuals are more easily sensitized than others; as the doses increase, sensitization increases, creating a heightened wanting for food; this wanting thus manifests in compulsive food-seeking behavior: addiction. They outline two different types of wanting: implicit and explicit wanting (Finlayson et al, 2003). These involve separate processes but they complement each other to contribute to food preference. Implicit wanting is how hard an individual is willing to work for food. This is the independent risk factor for overconsumption. The harder someone is willing to work to get the food, the more likely they are to eat too much of it. Food has a heightened value to them. Explicit wanting refers to an individual’s desire to eat a specific kind of food. Preference for high fat, high sugar foods would reflect explicit wanting. 


Incentive-sensitization is one of several popular theories for why people compulsively overeat. It is important to realize that the processes leading to food consumption are not all explicit. Implicit processes play just as much of a role, if not more, in food seeking behavior. With this in mind, is eating necessarily under voluntary control? We usually see it as such because of utilization of musculature to obtain and consume food. We can perceive our outstretched arm as our hand reaches for the food. But knowing what we do about wanting, the importance of implicit wanting cannot be overlooked, because without it, explicit wanting would not matter. If the individual is not willing to work to get food, say get off the couch, then of course they will not care about the type of food they eat. So what drives implicit wanting? On the surface, we might say hunger, because it does. However, this doesn’t account for why someone will continue to eat past feeling ‘full.’ There must be a relationship between the hedonics of food and bodily homeostasis, with hedonics having the ability to override the innate desire for a homeostatic internal environment. Our knowledge of liking and wanting in food-related behaviors is relatively limited. So, in order to strengthen our understanding, it helps to draw upon separate theoretical models for guidance. 


Homeostatic and hedonic hungers, while fundamentally different in motivation, are both evolutionary important. Both motivations would’ve helped drive an individual to eat plenty of calories in order to satisfy the body’s energy needs in times of food scarcity or uncertainty. Thus, humans either learned, or innately possessed, the ability to eat past satiety. Hypothetically, if a hunter-gatherer were to stop eating at the first sign of satiety then experience a prolonged period of time between their next meal, say the hunting was slow or they were traveling through an area with little vegetation, they would put their body at risk for usurping its energy stores. To protect against this, they would use hedonic hunger to override homeostatic hunger. We still possess this ability today, though because we live in a time of food abundance, developing the habit of continually eating past our homeostatic set-points has proven to be severely detrimental to health and the main cause of obesity. The theory of ‘motivating operations’ (Tapper, 2005) focuses on explaining the motivations for food seeking. However, they completely ignore any aspect of overeating. They claim that food seeking will increase and hedonic enjoyment of food will be enhanced with deprivation. The reverse implies that with satiety, seeking behaviors and enjoyment of food will decrease. This does not account for the phenomenon that is binge eating. However, ‘motivating operations’ remains somewhat in line with the incentive sensitization model in that they both involve a decrease in food liking during overeating. When wanting increases due to sensitization, liking decreases. 


The µ-opioid system plays a key role in hedonics. In a study using highly-palatable foods (high sugar and fat), opioid administration to sated rats resulted in a stronger desire for food than seen in rats who had been deprived of food (Hayward & Low, 2005). Opioids are thought to increase the hedonic properties of food. More evidence comes from a study where administration of opioids in the nucleus accumbens of rats induced episodes of binge eating on fat (Hayward & Low, 2005). Taken alone, a pure fat foodstuff, such as Crisco, has very little rewarding taste properties unless it is mixed with another highly-palatable food such as sugar. Therefore this study serves as a good indicator of the role of opioids in increasing a food’s hedonic qualities, suggesting that individuals with food addiction may be hypersensitive to opioids in the brain or have an overactive reward system. Sugar is thought to act in the brain similarly to an opioid. Referring back to the aforementioned Avena et al. (2008) study, recall that they found that rodents on a high sugar chow diet exhibit addictive-like behaviors as the researchers increased daily sugar intake over a period of 28 days. The rats also exhibit opioid-like withdrawal symptoms when given the opioid antagonist naloxone (3 mg/kg). Their symptoms included anxiety, teeth chattering, tremor, head shakes, and a drop in body temperature (Avena et al, 2008) suggesting that natural rewards such as sugar act on similar neural substrates as illicit drugs. Hopefully now the correlation between compulsive overeating and other addiction disorders is becoming apparent. 

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Individuals with food addiction undoubtedly exhibit certain behaviors and personality traits that are strikingly similar to those of drug addicts. The main difference lies in the fact that food addiction is more accurately referred to as a ‘behavioral addiction:” one involving abuse of natural rewards (Davis et al, 2009). Drugs of addiction also act directly on the brain. Food acts indirectly, through the gut. However, gut peptides have strong connections to the dopaminergic (DA) system (Dagher, 2009), a system closely-linked to liking and wanting of illicit drugs. Eating, unlike drug-taking, is intrinsically required for human survival. And just as higher doses of drugs result in higher potential for addiction, we can see that larger ‘meals,’ or more accurately, binges, can also result in high potential for addiction. Grigson (2002) asserts that foods, like drugs, have the ability to alter brain mechanisms in ways that contribute to their increasingly compulsive use. In their paper on the neurobiology of eating and drug abuse, Corwin & Hajnal (2005) outline four things that must be considered when operationally defining non-homeostatic appetitive behavior: quantity consumed, quality or type consumed, context in which the behavior occurs, and the specific kind of behavior that is directed toward obtaining and consuming the commodity of interest. These aspects are to be used in for defining all types of non-homeostatic behavior, including compulsive overeating, not just drug addiction behavior. It is normal to overeat on occasion. Such overeating can be effectively regulated by the body’s systems because they are prepared to work harder at certain times than others. This type of overeating is referred to as compensatory. However, when it becomes compulsive, it renders itself dysfunctional because the human body is maladapted to deal with chronic stress to the degree that excessive sugar and fat intake will induce. Long-term health issues follow. Parallels can be made to drug taking in this regard as well. Recreational use, with adequate detoxification periods between use episodes, does not result in chronic negative effects on physical and mental health. However, when use escalates to abuse, extremely negative effects follow. 


The neuro-anatomical substrates associated with compulsive overeating are the same as those implicated in all appetitive behaviors, including drug taking. The main regions involved in appetitive behavior are the amygdala, hippocampus, orbitofrontal cortex, insula, and striatum (Dagher, 2009). When considered as a pathway, one entity, these substrates are all implicated in the following: learning about (food) rewards, setting the incentive value of stimuli in the environment, budgeting attention and efforts toward (food) rewards, and integrating homeostatic information about energy stores and gut contents with information about the outside world (availability of food)(Dagher, 2009). These substrates have been found to respond equally to food cues and drugs cues (Dagher, 2009) as well as contain prominent DA projections. When a blockade was applied to this DA pathway, all rodent responding for drugs and food was abolished (Wise et al, 1978). And lesions to these areas impair feeding behavior (Wise et al, 1978). In order to fully understand eating behavior, one must understand the interaction between the gut (enteric nervous system) and the central nervous system. The key players in these interactions are hormones, which project to the hypothalamus. 


So what leads people to eat past homeostatic levels? And are these factors seen in drug addicts as well? We’ve looked at some cultural factors such as environmental cues and guilt thus far. Now let’s take a look at stress. Unarguably, stress is the main external influence that will drive an individual to develop addiction. Whether the stress comes from a family environment, social peer pressure, body dissatisfaction, work-related issues, school-related issues, etcetera, it all activates the same glucocorticoid response in the body. In a study comparing compulsive-overeating and non-compulsive-overeating obese women, researchers found that body dissatisfaction strongly correlated with binge eating (Wardle et al., 2001). This was partly a direct effect, but also found to be partly mediated by depression. The obese women who compulsively overate were found to overall be more depressed and had lower self-esteem than non-compulsive-overeating obese women. These factors undoubtedly lead to socially-stressful situations, in which the women, if functioning at baseline and able to work and hold their job, would have to encounter on a day to day basis. Stressful situations such as these have been attributed to drug relapsing and dieting failures (Wansink & Van Ittersum, 2007). But why? Hebb proposed a theory to address this: stress can become a conditioned incentive for food. Just as the smoker reaches for a cigarette, the musician heads to the piano, or the addict shoots up in times of stress, food addicts reach for food. Eating is their response to stress. It has been found (Rosmond et al, 1998) that obese individuals have a greater cortisol response than lean individuals. Cortisol is the body’s hormonal response to stress. High cortisol responders (those who are particularly susceptible to react severely to stress) have been found to increase food intake during stressful situations (Takeda, 2004), particularly sweets. An interesting theory as to why people are driven to eat sugary foods when stressed is because they are high in carbohydrates. This is important when you consider the fact that carbohydrate consumption enhances tryptophan uptake and serotonin release: the carbohydrate-rich diet leads to increased insulin secretion, decreasing large neutral amino acids, increasing tryptophan uptake and consequently serotonin release (Takeda, 2004). During stressful situations, there is an increase in 5-HT breakdown. Is carbohydrate craving simply part of a compensatory mechanism to increase levels of circulating serotonin? Stress, especially body image concerns or peer pressure threatens the ego. In a study to investigate stress-eating relationships (Wallis & Hetherington, 2009) propose that overeating is caused by an attempt to shift attention away from an ego-threatening stimulus that may cause aversive self-awareness. This is known as ‘Escape Theory.’ Applying this would lead us to believe that food addicts eat as a retreat from an emotionally stressful situation (either acute or chronic situations). So is ‘comfort food’ really a means of retreating? No, of course eating will not solve any problems. However, the compulsive overeater, comfort food reduces activity in the HPA axis (Dallman et al, 2003) making them ‘feel better,’ if only for the moment. “You get it, you’re done. And it’s tasty; it’s got that tasty taste. You have stress in your life, and food is the one thing they can’t take from you” (Leahy, 2004). 

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Substantial evidence has been evaluated in order to classify compulsive overeating as an addiction disorder, and to implicate food addiction as the under-addressed, over-responsible culprit in the Obesity Epidemic. Food has strikingly similar effects on the dopamine pathway as drugs of addiction. Food intake also activates the µ-opioid system, the same system activated by illicit opioid drugs. Excessive food intake has been proven to create lasting changes on the brain, sensitizing the reward pathway, increasing wanting to the point of the development of compulsion. Food addiction and drug addiction are also caused, and perpetuated by, very similar stressful situations. While, on the surface, obesity seems to be the result of a potent amalgamation of cultural, personal, and other environmental stressors that dominate the American lifestyle and society, the Obesity Epidemic, at the most fundamental level of human biology and psychology, is caused by food addiction.






  

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Tobacco: The Perfect Compliment to Capitalism & the Protestant Work Ethic?



I’ve been reading about the history of tobacco and coffee and my thoughts are continually returning to a certain recurring motif: did mild intoxicants, coffee and tobacco, fundamentally drive humans as they developed capitalism and the Protestant work ethic, and therefore give rise to the Western society as we know it today? The question is definitely pertinent. The answer, however, is not as cut-and-dry as a yes or no. The development of human thought and action was a multidimensional process; therefore no one thing deserves credit. However, I am going to argue that these substances proved the perfect compliment, thereby enabling a shift in possibilities, a shift that did indeed become crucial to the process. 

I want to use this post to argue tobacco’s role in the process. I will mention coffee where pertinent, but it will not be a focal point. 

Europe received tobacco with open arms. An export from America, tobacco was as novel as a product could be at the time. Its unorthodox mode of consumption left people at a loss for words as to how to appropriately describe the act of consuming tobacco. This 1627 quote from Johann Joachim von Rusdorff does a decent job of expressing the sentiment of the day, “I cannot help but devote a few words to criticizing that new, astonishing fashion that came to our Europe some years ago from America, and which might be called a fog-drinking bout which outdoes all other passions for indulgence in drink, old or new.” Fog-drinking was, finally, aptly deemed smoking later in the 17th century. The novelty that was smoking naturally gave rapid rise to commercialization of the product. Smoking a pipe quickly became a past time focused on easing the mind and calming oneself; it was the perfect combination of motoricity, psychology, and pharmacology. This is the first important role tobacco played in the westernization process. Like coffee, tobacco allowed the individual to refocus, and then move forward efficiently, ideally now able to do more work than was previously possible without the drug. Tobacco’s differences from coffee in this respect should also be noted. Caffeine acted to stimulate the mind and provide the individual with renewed energy to complete the task-at-hand; nicotine, on the other hand, calmed and collected the individual’s wits, putting them into a level-headed state of mind, also making it easier to move forward with the task at hand. They both achieved similar ends, yet worked in different ways. 

Championed as an idyllic drug for students, tobacco provided means to achieving a contemplative mind. The popularity of the drugs denoted a shift in emphasis from the work of the physical world to the labors of the mind. Coffee shops and smoking parlors were academic gathering places. With the ever increasing speed of everyday life, coffee and tobacco became seen as drugs that not only allowed people to keep up, but enabled them to set the pace. The Protestant work ethic developed hand-in-hand with these substances. People could now work harder and longer than they previously thought possible, all the while remaining unintoxicated (obviously only if they weren’t drinking), and in the case of smoking, less burdened with erotic passions and desires, according to the times. Weakened sexual passion was seen by Protestants as a very positive side effect of smoking tobacco. The medicine of the times also viewed tobacco very favorably; it got rid of excess mucus, “[made] you lean,” and kept you level-headed. 

The progressive development of tobacco as a smoking vehicle, as well as the female smoking movement, both mirror the westernized sentiment well. An increase in the speed of everyday life also saw a correlative decrease in the size of, and therefore smoking time, associated with smoking vehicles. Once upon a time it took an hour to properly smoke a pipe. Then came the cigar. Seen as light and nimble at its introduction into the market, the cigar could be smoked in thirty minutes or less and required no packing. Just cut and light. Naturally, the cigarette showed up. Now we had a product that could be fully consumed in a matter of minutes and came packaged in boxes containing multiples. People initially exchanged the cigarettes from the commercial box to a more personal case. However, this soon became passé, and people smoked them straight from the box. The cigarette helped facilitate the movement for women to smoke. The small, thin appearance of a cigarette seemed feminine, and after a surge with some initial pushback, became appropriate and commonplace for women to smoke. 

The ability to work harder and longer, the decrease in sexual passion, the focused mind, the vast commercialization quickly spreading worldwide, and the progressive female smoking movement all serve as evidence that tobacco quickly became the perfect complement to the human temperament in the development of the western identity and establishment of the Protestant work ethic.

The Hard[wire] Problem

Conscious experience: the most difficult problem to address in the science of the mind.  As David Chalmers puts it, There is nothing that we know more intimately than conscious experience, but there is nothing that is harder to explain.”  Philosophers have been taking stabs at an explanation of the “hard problem” of conscious experience for thousands of years, yet the problem persists.  
And now, at the dawn of the “age of intelligence,” we are faced with a new and exciting, but potentially troubling issue: as our machines get more and more intelligent, is there any chance that they may become conscious?  They can already do so many things at levels that are currently humanly impossible; could a conscious race of machines make human life inconsequential?  A favorite topic of SciFi authors and film directors for decades, AI takeover is now quickly transitioning from a distant fantasy to a very real, very tangible possibility. image 

But will it ever be possible?  Is it conceivable for a machine to become a conscious being?  Some think it’s a laughable concept, one deserving of little attention or thought; others are devoting their lives to trying to make it happen.  Who’s right?  Will all efforts at AI consciousness be in vain?  I will be exploring these questions through a new lens, looking beyond philosophy.  If AI consciousness is ever to be, it will arrive as the sublime amalgamation of quantum and neural sciences, heavily-influenced by computer science: a biological computer. 

 In this (long) post, I want to take a brief look into the views of consciousness held by prominent mind theorists and philosophers; I will next explore what it means to be artificially intelligent; then I’ll move onto what physics, neuroscience, and computer science have to tell us about the possibility of a conscious machine.  I will conclude with the important question: is it possible?


imageSo what is it like to be a bat?  This question, asked by Thomas Nagel, helps frame our reference point.  In his paper of the same name, Nagel rejects reductionism, arguing that we can’t reduce our descriptions of the mental experience to pure neurological terms.  Mental states have a qualitative character, something it is like to be.  He refers to this as the subjective character of experience.  In terms of the bat, if we assume that the bat has conscious experiences, then we can put ourselves in the bat’s position and therefore assume what it must be like to be the bat.  However, we cannot possibly know what the exact same situation is like for the bat itself.  It may be completely different because, as Nagel argues, the central characteristic of the mind is consciousness, and we cannot possibly know exactly what any other conscious being is experiencing.  In Nagel’s view, we cannot rationally reduce conscious experience to physical properties or neural substrates or pathways in the brain. 
Nagel’s description of qualitative consciousness is vague at best.  To address this issue, Frank Jackson wrote the paper “Epiphenomenal Qualia.”  Qualia, as defined by Jackson, are “certain features of the bodily sensations especially, but also of certain perceptual experiences, which no amount of purely physical information includes,” that is, qualia cannot be described in a purely physical vocabulary.  Examples of quale include sensations and perceptual experiences, things such as “the hurtfulness of pains, itchiness of itches … experience of smelling a rose.”  If qualia exist, then, in Jackson’s view, materialism does not.  To put it bluntly, he states, “Nothing you could tell of a purely physical sort captures the smell of a rose, for instance.  Therefore, physicalism is false.”  If Jackson is correct, this may present an important issue for consciousness in the machine.  As we will see, most neuroscientists and computer scientists are physicalists. 
imageBut do qualia hold up under close examination?  Daniel Dennett doesn’t think so, and he uses his paper, “Quining Qualia,” to do just what the title implies, resolutely deny qualia’s testability, and therefore fundamentally question the utility of qualia in any argument.  The main issue Dennett takes with qualia is their nature: they are private, ineffable, incommunicable, irreducible.    In principal, it is impossible to know exactly what another conscious being experiences, and therefore the question of whether a certain experience exists is senseless.  The lack of verifiable criterion is important in understanding (or not understanding) qualia.  It is what makes two individuals’ definitions of the same thing different, and therefore meaningless.  In terms of neural activity, Dennett still holds the view that there is no evidence for, and will never be evidence, that can infallibly correlate a certain neural event or sequence of activity with a certain experience.  
David Chalmers, former Director of the Center for Consciousness Studies at the University of Arizona and degree holder in mathematics and computer science, begs to differ with Dennett.  He believes that the very ineffable qualitative experiences that Dennett rejects as fictions are of utmost importance in understanding consciousness.  He says, “It is widely agreed that experience arises from a physical basis, but we have no good explanation of why and how it arises.  Why should physical processing give rise to a rich inner life at all?  It seems objectively unreasonable that it should, and yet it does.”  And yet it does.  This is a ray of hope for AI scientists.  Somehow, amidst the precisely controlled milieu of a computer system, consciousness, that indescribable and unpredictable property, may emerge. 
imageBefore exploring the theories related to emergent properties of consciousness, however, we must first define artificial intelligence and look at some of the issues commonly associated with it.  Mathematician and philosopher Alan Turing was the first to raise the question, “can machines think?”  
Two important questions were raised and examined: 1.) What does it mean to be a machine?  2.)  How can we determine whether something thinks?    To determine whether something can think, Turing devised an intelligence test, now referred to as the Turing Test.  In the Turing Test, an interrogator presents a series of questions, to which both a machine and a human being answer.  If the machine can effectively fool the interrogator into thinking that it is indeed the human, then, in Turing’s argument, we must conclude that the machine is intelligent.  “Thinking” in the case of the Turing Test seems to be nothing more than “passing the test.”  
So is behaving like an intelligent human really equivalent to being intelligent?  Turing recognizes the fact that we cannot prove that the machine can ever experience qualitative consciousness like a human, but that this is precisely the same situation as trying to prove that another human being experiences qualitative consciousness.   All we have to go by, in either situation, is behavior; it is the only information readily available to us as the observer.  We can therefore only be certain of our own intelligence.  This seems to line up well with Dennett’s argument in “Quining Qualia.” image
John Searle, in his paper, “Minds, Brains, and Programs,” attacks what he calls Strong AI, or the production of intelligent machines, with the theory that achieving intelligence is impossible in computer systems due to their very nature.  He rejects the idea that a computer that can pass the Turing Test has cognitive states and that programs can thereby explain human cognition.  He uses the Chinese Room imaginary machine to clarify his views. 
 The example consists of him sitting in a room and manipulating sets of Chinese symbols for someone outside the room.  He receives sets of instructions, in English, for manipulating the symbols, yet still has no real understanding of the Chinese.  After a while, he becomes so good at manipulating the symbols that the outsider can no longer distinguish him from a native Chinese speaker.  However, he still cannot “recognize Chinese writing as Chinese distinct from, say Japanese writing or meaningless squiggles” (Searle, 1980).  He does not understand Chinese.  This, Searle argues, describes the distinction between a Turing computer and a cognitive being.  Searle later claims that intentionality will only arise in biological systems, an implication that does not bode well for physicalist, strong AI computer scientists.  
 

Recall that, according to Chalmers, what we are missing is an “extra ingredient,” that novel property that will explain how consciousness proceeds.  One such theory, the theory of quantum mechanics, attempts to account for the unique features of consciousness.   Almost all of modern physics is based on the quantum theory. 

Margaret Boden, however, argues that Searle’s claims are mistaken.  He does not have any real understanding, nor does anybody else, she says, how intentionality would derive from the brain, as Searle claims later in his paper.  Boden thinks that Searle’s claim that intentionality can only arise in a biological system is incomplete, precisely because we have so little understanding of intentionality at all.  What exactly do scientists think about intentionality and the emergent properties associated with consciousness?   

However, very few people actually question its implications.  Einstein was one of the few, and he was profoundly bothered by what he called “spooky forces” involved in quantum theory.  If quantum theory is correct, in Einstein’s mind, then it denies the existence of the real world.  An atom is only in one place because you observe it to be there, not necessarily because it physically exists there.  It is your act of looking that makes it visible to you.  In fact, that atom could exist in two, three, or many more places at once, until you look.  Conscious observation is what allows it to be found in actuality at that particular place you saw it (Rosenblum & Kuttner, 2006). image
Chalmers recognized the potential for a crucial connection between quantum theory and consciousness, “When there are two mysteries, it is tempting to suppose that they have a common source.  This temptation is magnified by the fact that the problems of quantum mechanics seem to be deeply tied to the notion of observership, crucially involving the relation between a subject’s experience and the rest of the world” (Rosenblum & Kuttner, 2006).  These are the two mysteries: the mystery of out thereversus the mystery of in here.  But, according to some quantum theorists, out there and in here are fundamentally tied to one another in a state of universal consciousness.  Everything exists as wave functions in a state of entanglement, until an object is observed.  Stuart Hammeroff and Roger Penrose proposed the theory of objective reduction, OR, to address this. 

According to OR, they “consider that consciousness occurs if an appropriately organized system is able to develop and maintain quantum coherent superposition until a specific “objective” criterion is reached; the coherent system then self-reduces (OR) (Hammeroff & Penrose, 1996).  This self-collapse gives rise to non-computability (qualia), the fundamental aspect of consciousness.  They go on to propose that OR is occurring actively in the microtubules of neurons (Hammeroff & Penrose, 1996).  


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Their model of self-collapse focuses on tubulin, a microtubule subunit protein. They claim that quantum states develop in the tubulins and, upon reaching a mass-time-energy threshold, objective reduction promptly occurs (Hammeroff & Penrose, 1996). Each instance of self-collapse equates to a conscious event. If this is true, then the classically-held view of consciousness by a vast majority of today’s neuroscientists, that of materialism, proves to be a valid argument. Neuroscientists, when and if, discussing consciousness, tend to favor the idea that consciousness stems from s complex cortical pathway. And while this pathway has neither been determined or understood, this theory implies that consciousness emerges from a physical substrate, a series of biochemical reactions. Hammeroff and Penrose are not the only ones to look to neural substrates as a means for understanding the role of quantum physics in the emergence of consciousness. Gustav Bernroider, through observations from his work with the K+ channel, suggests that behavior of this channel can only be understood at the quantum level. He suggests that a system of computational mapping exists between the quantum-entangled systems of K+ channel and O2 atoms of the binding pockets (on the channels). The ions that are destined to be expelled from the channel are proposed to encode information about the state of the O2 atoms (Bernroider, 2005). 

As mentioned briefly before, neuroscience is a field dominated by biological naturalists who believe that consciousness can only arise in completely biological systems. This is similar to Searle’s earlier view that was attacked by Boden. Neuroscientists look to certain studies for their evidence. PVS (persistant vegetative state) patients are a popular model to look at with regards to consciousness. PVS involves loss of higher cerebral powers in the brain. However, the individual maintains their sleep-wake cycle and remains autonomically functional. This poses unique ethical challenges, especially when making the decision whether or not to withdraw life support (Levy, 2006). This also brings up the question of whether or not the individual is indeed themselves. If they do not experience consciousness, yet remain alive, are they little more than a plant? As for neural correlations, studying PVS patients seems to be critical. They have lost their consciousness; so what is different. Well, researchers have determined that PVS patients experience an impaired connectivity between the brainstem and the cortical areas; their cortical activity is therefore lower than the average individual’s (Levy, 2006). Neuroscientists are also currently using sedatives (Reeves et al., 2004), anesthetics (Ghoneim & Block, 1992), and hypnosis (Rainville et al., 2002) to attempt to tease apart different aspects of consciousness. And drugs, both illicit and prescription have been known to have varying effects on consciousness, pointing toward the idea that consciousness is an emergent property of biochemical reactions. An interesting study by Rodolpho Llinas (Llinas et al., 1998), entitled “The neuronal basis for consciousness,” claims that consciousness is the result of resonance in the thalamocortical areas of the brain. And of course, blindsight studies have been very popular when discussing proof of some sort of natural depth of consciousness (Holt, 1999). 

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Computer scientists also tend to hold physicalist views on consciousness. Functionalists like to define mental states in terms of causal roles. Therefore, any system that can instantiate the same pattern of causal roles should be able to give rise to the same mental states, including consciousness. In other words, if you can write complex computer programs that copy the brain states associated and correlated with consciousness, then theoretically one should be able to elicit the emergence of consciousness in a machine. Chalmers believes this: in properly designed computers, consciousness can be realized. Computer scientists have come up with several sets of criteria used to define consciousness in computer systems. Namely, Bernard Baars (Baars, 1988) and Igor Aleksander (Aleksander, 1994) hold two of the most popular and widely-used definition criterion. Baars’ criteria for consciousness are as follows: definition and context setting, adaptation and learning, editing, flagging and debugging, recruiting and control, prioritizing and access-control, decision-making and executive function, analogy forming, metacognitive and self-monitoring function, autoprogramming and self-maintenance function, and definitional and context-setting function (Baars, 1988). Aleksander uses 12 principles for what he calls Artificial Consciousness: the brain is a state machine, inner neuron partitioning, conscious and unconscious states, perceptual learning and memory, prediction, awareness of self, representation of meaning, learning utterances, learning language, will, instinct, and emotion display. 

All of these criteria and forms of evidence for consciousness seem like they should be comprehensive enough to understand consciousness, yet we still do not know much more about how it emerges than we did decades ago. As artificial intelligence continues to progress within the context of Moore’s Law, we can expect to see some amazing feats of engineering and machines that will undoubtedly pass the Turing Test with ease. But, I raise the question again: will they ever be fully conscious on the same level as a human? I apologize for ending this series of posts on a non-distinct ground, but my opinions on the matter accurately reflect the state of the field of artificial intelligence at this point in time. My answer to the question: I do not know. However, if I were to predict one way that consciousness would emerge from an artificial system, I would say the system would have to be the perfect combination of biochemical reactions and computer science, of neural networks and algorithms, and of quantum mechanics and “spooky forces.”