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The left cerebral hemisphere is to the “right-brained” poet or novelist as the hamstrings and quadriceps are to a competitive sprinter

Because the ability to understand and produce language is focused in the left side of the brain in almost everyone, caricaturing these creative types as using their right brain more than their left brain is silly.

visual-spatial abilities—localized to the right cerebral hemisphere—are skills that are absolutely critical for “left-brained” talents like science or engineering.

But much of our obsession with the brain’s left and right cerebral hemispheres may have started with studies of split brain patients in the ‘50s. During this time, people who suffered multiple seizures a day underwent intense surgery to treat their epilepsy.

To calm the electrical storms that ravaged these patients’ brains, the nerve fibers connecting the left and right hemispheres of the brain were cut. These fibers are collectively known as the corpus callosum

Once the corpus callosum is severed on the operating table, the new split brain patient appears astonishingly normal at first glance

But careful experiments reveal that this person is really two persons, two streams of consciousness in one body

only the left hemisphere can speak

The right hemisphere cannot speak, but it can point to words like “yes” or “no” to answer a question

Each hemisphere, it seems, maintains independent beliefs and personalities, challenging the notion that we are each an indivisible “self.”

We are all “brain-ambidextrous.”

invoked an old metaphor to explain why he isn’t convinced by the analysis: He compared it to establishing a theory of how weather works by pointing a video camera out the window for 7 hours.

Indeed, among neuroscientists, the new “comprehensive atlas” of the cerebral cortex is almost as controversial as a historical atlas of the Middle East. That’s because every word has a constellation of meanings and associations — and it’s hard for scientists to agree about how best to study them in the lab.

For this study, neuroscientist Jack Gallant and his team at the University of California, Berkeley played more than two hours’ worth of stories from the Moth Radio Hour for seven grad students and postdocs while measuring their cerebral blood flow using functional magnetic resonance imaging. Then, they linked the activity in some 50,000 pea-sized regions of the cortex to the “meaning” of the words being heard at that moment.

How, you might ask, did they establish the meaning of words? The neuroscientists pulled all the nouns and verbs from the podcasts. With a computer program, they then looked across millions of pages of text to see how often the words from the podcasts are used near 985 common words taken from Wikipedia’s List of 1,000 Basic Words. “Wolf,” for instance, would presumably be used more often in proximity to “dog” than to, say, “eggplant.” Using that data, the program assigned numbers that approximated the meaning of each individual word from the podcasts — and, with some fancy number crunching, they figured out what areas of the brain were activated when their research subjects heard words with certain meanings.

Everyone agrees that the research is innovative in its method. After all, linking up the meanings of thousands of words to the second-by-second brain activity in thousands of tiny brain regions is no mean feat. “That’s way more data than any human being can possibly think about,” said Gallant.

What they can’t agree on is what it means. “In this study, our goal was not to ask a specific question. Our goal was to map everything so that we can ask questions after that,” said Gallant. “One of the most frequent questions we get is, ‘What does it mean?’ If I gave you a globe, you wouldn’t ask what it means, you’d start using it for stuff. You can look for the smallest ocean or how long it will take to get to San Francisco.”

This “data-driven approach” still involves assumptions about how to break up language into different categories of meaning

“Of course it’s a very simplified version of how meaning is captured in our minds, but it seems to be a pretty good proxy,” she said.

hordes of unanswered questions: “We can map where your brain represents the meaning of a narrative text that is associated with family, but we don’t know why the brain is responding to family at that location. Is it the word ‘father’ itself? Is it your memories of your own father? Is it your own thinking about being a parent yourself?” He hopes that it’s just those types of questions that researchers will ask, using his brain map as a guide.

“Building a more complex cortex likely involves several things: making more cells, modifying the functions of cortical areas, and changing the connections neurons make with each other

Scientists have become adept at comparing the genomes of different species to identify the DNA sequence changes that underlie those differences. But many human genes are very similar to those of other primates, which suggests that changes in the way genes are regulated — in addition to changes in the genes themselves — is what sets human biology apart.

First, Noonan and his colleagues mapped active regulatory elements in the human genome during the first 12 weeks of cortical development by searching for specific biochemical, or “epigenetic” modifications

same in the developing brains of rhesus monkeys and mice, then compared the three maps to identify those elements that showed greater activity in the developing human brain.

wanted to know the biological impact of those regulatory changes.

They used those data to identify groups of genes that showed coordinated expression in the cerebral cortex.

“While we often think of the human brain as a highly innovative structure, it’s been surprising that so many of these regulatory elements seem to play a role in ancient processes important for building the cortex in all mammals, said first author Steven Reilly

The top brain comprises the entire parietal lobe and the top (and larger) portion of the frontal lobe. The bottom comprises the smaller remainder of the frontal lobe and all of the occipital and temporal lobes.

research reveals that the top-brain system uses information about the surrounding environment (in combination with other sorts of information, such as emotional reactions and the need for food or drink) to figure out which goals to try to achieve. It actively formulates plans, generates expectations about what should happen when a plan is executed and then, as the plan is being carried out, compares what is happening with what was expected, adjusting the plan accordingly.

The bottom-brain system organizes signals from the senses, simultaneously comparing what is being perceived with all the information previously stored in memory. It then uses the results of such comparisons to classify and interpret the object or event, allowing us to confer meaning on the world.

The top- and bottom-brain systems always work together, just as the hemispheres always do. Our brains are not engaged in some sort of constant cerebral tug of war

Although the top and bottom parts of the brain are always used during all of our waking lives, people do not rely on them to an equal degree. To extend the bicycle analogy, not everyone rides a bike the same way. Some may meander, others may race.

You can use the top-brain system to develop simple and straightforward plans, as required by a situation—or you have the option to use it to develop detailed and complex plans (which are not imposed by a situation).

Our theory predicts that people fit into one of four groups, based on their typical use of the two brain systems. Depending on the degree to which a person uses the top and bottom systems in optional ways, he or she will operate in one of four cognitive modes: Mover, Perceiver, Stimulator and Adaptor.

Mover mode results when the top- and bottom-brain systems are both highly utilized in optional ways. Oprah Winfrey

According to the theory, people who habitually rely on Mover mode are most comfortable in positions that allow them to plan, act and see the consequences of their actions. They are well suited to being leaders.

Perceiver mode results when the bottom-brain system is highly utilized in optional ways but the top is not. Think of the Dalai Lama or Emily Dickinson

People who habitually rely on Perceiver mode try to make sense in depth of what they perceive; they interpret their experiences, place them in context and try to understand the implications.

such people—including naturalists, pastors, novelists—typically lead lives away from the limelight. Those who rely on this mode often play a crucial role in a group; they can make sense of events and provide a bigger picture

Stimulator mode, which results when the top-brain system is highly utilized but the bottom is not. According to our theory, people who interact with the world in Stimulator mode often create and execute complex and detailed plans (using the top-brain system) but fail to register consistently and accurately the consequences of acting on those plans

they may not always note when enough is enough. Their actions can be disruptive, and they may not adjust their behavior appropriately.

Examples of people who illustrate Stimulator mode would include Tiger Woods

Adaptor mode, which results when neither the top- nor the bottom-brain system is highly utilized in optional ways. People who think in this mode are not caught up in initiating plans, nor are they fully focused on classifying and interpreting what they experience. Instead, they become absorbed by local events and the immediate requirements of the situation

They are responsive and action-oriented and tend to "go with the flow." Others see them as free-spirited and fun to be with.

those who typically operate in Adaptor mode can be valuable team members. In business, they often form the backbone of an organization, carrying out essential operations.

No one mode is "better" than the others. Each is more or less useful in different circumstances, and each contributes something useful to a team. Our theory leads us to expect that you can work with others most productively when you are aware not just of the strengths and weakness of their preferred modes but also of the strengths and weakness of your own preferred mode

courage. The obvious form of intellectual courage is the willingness to hold unpopular views. But the subtler form is knowing how much risk to take in jumping to conclusions.

Intellectual courage is self-regulation, Roberts and Wood argue, knowing when to be daring and when to be cautious. The philosopher Thomas Kuhn pointed out that scientists often simply ignore facts that don’t fit with their existing paradigms, but an intellectually courageous person is willing to look at things that are surprisingly hard to look at.

The median point between flaccidity and rigidity is the virtue of firmness. The firm believer can build a steady worldview on solid timbers but still delight in new information. She can gracefully adjust the strength of her conviction to the strength of the evidence. Firmness is a quality of mental agility.

humility, which is not letting your own desire for status get in the way of accuracy. The humble person fights against vanity and self-importance.

wisdom isn’t a body of information. It’s the moral quality of knowing how to handle your own limitations.

autonomy

Autonomy is the median of knowing when to bow to authority and when not to, when to follow a role model and when not to, when to adhere to tradition and when not to.

generosity. This virtue starts with the willingness to share knowledge and give others credit. But it also means hearing others as they would like to be heard, looking for what each person has to teach and not looking to triumphantly pounce upon their errors.

thinking well means pushing against the grain of our nature — against vanity, against laziness, against the desire for certainty, against the desire to avoid painful truths. Good thinking isn’t just adopting the right technique. It’s a moral enterprise and requires good character, the ability to go against our lesser impulses for the sake of our higher ones.

The humble researcher doesn’t become arrogant toward his subject, assuming he has mastered it. Such a person is open to learning from anyone at any stage in life.

Warren Buffett made a similar point in his own sphere, “Investing is not a game where the guy with the 160 I.Q. beats the guy with the 130 I.Q. Once you have ordinary intelligence, what you need is the temperament to control the urges that get other people into trouble.”

Good piece. I only wish David had written more about all the forces that work _against_ the virtues he describes. The innumerable examples of corporate suppression/spin of "inconvenient" truths (i.e, GM, Toyota, et al); the virtual acceptance that lying is a legitimate tactic in political campaigns; our preoccupation with celebrity, appearances, and "looking good" in every imaginable transaction; make the quiet virtues that DB describes even more heroic than he suggests.

There are plenty of theories, of course, especially regarding why: increasingly complex social networks, a culture built around tool use and collaboration, the challenge of adapting to a mercurial and often harsh climate

Although these possibilities are fascinating, they are extremely difficult to test.

Although it makes up only 2 percent of body weight, the human brain consumes a whopping 20 percent of the body’s total energy at rest. In contrast, the chimpanzee brain needs only half that.

contrary to long-standing assumptions, larger mammalian brains do not always have more neurons, and the ones they do have are not always distributed in the same way.

The human brain has 86 billion neurons in all: 69 billion in the cerebellum, a dense lump at the back of the brain that helps orchestrate basic bodily functions and movement; 16 billion in the cerebral cortex, the brain’s thick corona and the seat of our most sophisticated mental talents, such as self-awareness, language, problem solving and abstract thought; and 1 billion in the brain stem and its extensions into the core of the brain

In contrast, the elephant brain, which is three times the size of our own, has 251 billion neurons in its cerebellum, which helps manage a giant, versatile trunk, and only 5.6 billion in its cortex

primates evolved a way to pack far more neurons into the cerebral cortex than other mammals did

The great apes are tiny compared to elephants and whales, yet their cortices are far denser: Orangutans and gorillas have 9 billion cortical neurons, and chimps have 6 billion. Of all the great apes, we have the largest brains, so we come out on top with our 16 billion neurons in the cortex.

“What kinds of mutations occurred, and what did they do? We’re starting to get answers and a deeper appreciation for just how complicated this process was.”

there was a strong evolutionary pressure to modify the human regulatory regions in a way that sapped energy from muscle and channeled it to the brain.

Accounting for body size and weight, the chimps and macaques were twice as strong as the humans. It’s not entirely clear why, but it is possible that our primate cousins get more power out of their muscles than we get out of ours because they feed their muscles more energy. “Compared to other primates, we lost muscle power in favor of sparing energy for our brains,” Bozek said. “It doesn’t mean that our muscles are inherently weaker. We might just have a different metabolism.

a pioneering experiment. Not only were they going to identify relevant genetic mutations from our brain’s evolutionary past, they were also going to weave those mutations into the genomes of lab mice and observe the consequences.

Silver and Wray introduced the chimpanzee copy of HARE5 into one group of mice and the human edition into a separate group. They then observed how the embryonic mice brains grew.

After nine days of development, mice embryos begin to form a cortex, the outer wrinkly layer of the brain associated with the most sophisticated mental talents. On day 10, the human version of HARE5 was much more active in the budding mice brains than the chimp copy, ultimately producing a brain that was 12 percent larger

“It wasn’t just a couple mutations and—bam!—you get a bigger brain. As we learn more about the changes between human and chimp brains, we realize there will be lots and lots of genes involved, each contributing a piece to that. The door is now open to get in there and really start understanding. The brain is modified in so many subtle and nonobvious ways.”

As recent research on whale and elephant brains makes clear, size is not everything, but it certainly counts for something. The reason we have so many more cortical neurons than our great-ape cousins is not that we have denser brains, but rather that we evolved ways to support brains that are large enough to accommodate all those extra cells.

There’s a danger, though, in becoming too enamored with our own big heads. Yes, a large brain packed with neurons is essential to what we consider high intelligence. But it’s not sufficient

No matter how large the human brain grew, or how much energy we lavished upon it, it would have been useless without the right body. Three particularly crucial adaptations worked in tandem with our burgeoning brain to dramatically increase our overall intelligence: bipedalism, which freed up our hands for tool making, fire building and hunting; manual dexterity surpassing that of any other animal; and a vocal tract that allowed us to speak and sing.

Human intelligence, then, cannot be traced to a single organ, no matter how large; it emerged from a serendipitous confluence of adaptations throughout the body. Despite our ongoing obsession with the size of our noggins, the fact is that our intelligence has always been so much bigger than our brain.

that not only the cerebral cortex, but the entire auditory pathway, represents sounds according to prior expectations.

Although participants recognised the deviant faster when it was placed on positions where they expected it, the subcortical nuclei encoded the sounds only when they were placed in unexpected positions.

Predictive coding assumes that the brain is constantly generating predictions about how the physical world will look, sound, feel, and smell like in the next instant, and that neurons in charge of processing our senses save resources by representing only the differences between these predictions and the actual physical world.

e have now shown that this process also dominates the most primitive and evolutionary conserved parts of the brain. All that we perceive might be deeply contaminated by our subjective beliefs on the physical world."

Developmental dyslexia, the most wide-spread learning disorder, has already been linked to altered responses in subcortical auditory pathway and to difficulties on exploiting stimulus regularities in auditory perception.

The cerebrum has two halves, or hemispheres, that are further divided into four regions, or lobes. The frontal lobes, located behind the forehead, are involved with speech, thought, learning, emotion, and movement.

Behind them are the parietal lobes, which process sensory information such as touch, temperature, and pain.

At the rear of the brain are the occipital lobes, dealing with vision

Lastly, there are the temporal lobes, near the temples, which are involved with hearing and memory.

The second-largest part of the brain is the cerebellum, which sits beneath the back of the cerebrum.

diencephalon, located in the core of the brain. A complex of structures roughly the size of an apricot, its two major sections are the thalamus and hypothalamus

The brain is extremely sensitive and delicate, and so it requires maximum protection, which is provided by the hard bone of the skull and three tough membranes called meninges.

Want more proof that the brain is extraordinary? Look no further than the blood-brain barrier.

This led scientists to learn that the brain has an ingenious, protective layer. Called the blood-brain barrier, it’s made up of special, tightly bound cells that together function as a kind of semi-permeable gate throughout most of the organ. It keeps the brain environment safe and stable by preventing some toxins, pathogens, and other harmful substances from entering the brain through the bloodstream, while simultaneously allowing oxygen and vital nutrients to pass through.

One in five Americans suffers from some form of neurological damage, a wide-ranging list that includes stroke, epilepsy, and cerebral palsy, as well as dementia.

Alzheimer’s disease, which is characterized in part by a gradual progression of short-term memory loss, disorientation, and mood swings, is the most common cause of dementia. It is the sixth leading cause of death in the United States

50 million people suffer from Alzheimer’s or some form of dementia. While there are a handful of drugs available to mitigate Alzheimer’s symptoms, there is no cure.

Unfortunately, negative attitudes toward people who suffer from mental illness are widespread. The stigma attached to mental illness can create feelings of shame, embarrassment, and rejection, causing many people to suffer in silence.

In the United States, where anxiety disorders are the most common forms of mental illness, only about 40 percent of sufferers receive treatment. Anxiety disorders often stem from abnormalities in the brain’s hippocampus and prefrontal cortex.

Attention-deficit/hyperactivity disorder, or ADHD, is a mental health condition that also affects adults but is far more often diagnosed in children.

ADHD is characterized by hyperactivity and an inability to stay focused.

Depression is another common mental health condition. It is the leading cause of disability worldwide and is often accompanied by anxiety. Depression can be marked by an array of symptoms, including persistent sadness, irritability, and changes in appetite.

The good news is that in general, anxiety and depression are highly treatable through various medications—which help the brain use certain chemicals more efficiently—and through forms of therapy

during this same period, students' self-reported narcissism levels have shot through the roof. "Many people see the current group of college students, sometimes called 'Generation Me,' " Konrath continues, "as one of the most self-centered, narcissistic, competitive, confident, and individualistic in recent history."

Reading a book carves brand-new neural pathways into the ancient cortical bedrock of our brains. It transforms the way we see the world—makes us, as Nicholas Carr puts it in his recent essay, "The Dreams of Readers," "more alert to the inner lives of others." We become vampires without being bitten—in other words, more empathic. Books make us see in a way that casual immersion in the Internet, and the quicksilver virtual world it offers, doesn't.

if society really is becoming more psychopathic, it's not all doom and gloom. In the right context, certain psychopathic characteristics can actually be very constructive. A neurosurgeon I spoke with (who rated high on the psychopathic spectrum) described the mind-set he enters before taking on a difficult operation as "an intoxication that sharpens rather than dulls the senses." In fact, in any kind of crisis, the most effective individuals are often those who stay calm—who are able to respond to the exigencies of the moment while at the same time maintaining the requisite degree of detachment.

mental toughness isn't the only characteristic that Special Forces soldiers have in common with psychopaths. There's also fearlessness.

I ask Andy whether he ever felt any regret over anything he'd done. Over the lives he'd taken on his numerous secret missions around the world. "No," he replies matter-of-factly, his arctic-blue eyes showing not the slightest trace of emotion. "You seriously don't think twice about it. When you're in a hostile situation, the primary objective is to pull the trigger before the other guy pulls the trigger. And when you pull it, you move on. Simple as that. Why stand there, dwelling on what you've done? Go down that route and chances are the last thing that goes through your head will be a bullet from an M16. "The regiment's motto is 'Who Dares Wins.' But sometimes it can be shortened to 'F--- It.' "

one of the things that we know about psychopaths is that the light switches of their brains aren't wired up in quite the same way as the rest of ours are—and that one area particularly affected is the amygdala, a peanut-size structure located right at the center of the circuit board. The amygdala is the brain's emotion-control tower. It polices our emotional airspace and is responsible for the way we feel about things. But in psychopaths, a section of this airspace, the part that corresponds to fear, is empty.

Turn down the signals to the amygdala, of course, and you're well on the way to giving someone a psychopath makeover. Indeed, Liane Young and her team in Boston have since kicked things up a notch and demonstrated that applying TMS to the right temporoparietal junction—a neural ZIP code within that neighborhood—has significant effects not just on lying ability but also on moral-reasoning ability: in particular, ascribing intentionality to others' actions.

at an undisclosed moment sometime within the next 60 seconds, the image you see at the present time will change, and images of a different nature will appear on the screen. These images will be violent. And nauseating. And of a graphic and disturbing nature. "As you view these images, changes in your heart rate, skin conductance, and EEG activity will be monitored and compared with the resting levels that are currently being recorded

"OK," says Nick. "Let's get the show on the road." He disappears behind us, leaving Andy and me merrily soaking up the incontinence ad. Results reveal later that, at this point, as we wait for something to happen, our physiological output readings are actually pretty similar. Our pulse rates are significantly higher than our normal resting levels, in anticipation of what's to come. But with the change of scene, an override switch flips somewhere in Andy's brain. And the ice-cold Special Forces soldier suddenly swings into action. As vivid, florid images of dismemberment, mutilation, torture, and execution flash up on the screen in front of us (so vivid, in fact, that Andy later confesses to actually being able to "smell" the blood: a "kind of sickly-sweet smell that you never, ever forget"), accompanied not by the ambient spa music of before but by blaring sirens and hissing white noise, his physiological readings start slipping into reverse. His pulse rate begins to slow. His GSR begins to drop, his EEG to quickly and dramatically attenuate. In fact, by the time the show is over, all three of Andy's physiological output measures are pooling below his baseline.

Nick has seen nothing like it. "It's almost as if he was gearing himself up for the challenge," he says. "And then, when the challenge eventually presented itself, his brain suddenly responded by injecting liquid nitrogen into his veins. Suddenly implemented a blanket neural cull of all surplus feral emotion. Suddenly locked down into a hypnotically deep code red of extreme and ruthless focus." He shakes his head, nonplused. "If I hadn't recorded those readings myself, I'm not sure I would have believed them," he continues. "OK, I've never tested Special Forces before. And maybe you'd expect a slight attenuation in response. But this guy was in total and utter control of the situation. So tuned in, it looked like he'd completely tuned out."

My physiological output readings, in contrast, went through the roof. Exactly like Andy's, they were well above baseline as I'd waited for the carnage to commence. But that's where the similarity ended. Rather than go down in the heat of battle, in the midst of the blood and guts, mine had appreciated exponentially. "At least it shows that the equipment is working properly," comments Nick. "And that you're a normal human being."

TMS can't penetrate far enough into the brain to reach the emotion and moral-reasoning precincts directly. But by damping down or turning up the regions of the cerebral cortex that have links with such areas, it can simulate the effects of deeper, more incursive influence.

Before the experiment, I'd been curious about the time scale: how long it would take me to begin to feel the rush. Now I had the answer: about 10 to 15 minutes. The same amount of time, I guess, that it would take most people to get a buzz out of a beer or a glass of wine.

The effects aren't entirely dissimilar. An easy, airy confidence. A transcendental loosening of inhibition. The inchoate stirrings of a subjective moral swagger: the encroaching, and somehow strangely spiritual, realization that hell, who gives a s---, anyway? There is, however, one notable exception. One glaring, unmistakable difference between this and the effects of alcohol. That's the lack of attendant sluggishness. The enhancement of attentional acuity and sharpness. An insuperable feeling of heightened, polished awareness. Sure, my conscience certainly feels like it's on ice, and my anxieties drowned with a half-dozen shots of transcranial magnetic Jack Daniel's. But, at the same time, my whole way of being feels as if it's been sumptuously spring-cleaned with light. My soul, or whatever you want to call it, immersed in a spiritual dishwasher.

So this, I think to myself, is how it feels to be a psychopath. To cruise through life knowing that no matter what you say or do, guilt, remorse, shame, pity, fear—all those familiar, everyday warning signals that might normally light up on your psychological dashboard—no longer trouble you.

I suddenly get a flash of insight. We talk about gender. We talk about class. We talk about color. And intelligence. And creed. But the most fundamental difference between one individual and another must surely be that of the presence, or absence, of conscience. Conscience is what hurts when everything else feels good. But what if it's as tough as old boots? What if one's conscience has an infinite, unlimited pain threshold and doesn't bat an eye when others are screaming in agony?

in general what he argues is that if you take a look at animal cognition, human too, it's computational systems. Therefore, you want to look the units of computation. Think about a Turing machine, say, which is the simplest form of computation, you have to find units that have properties like "read", "write" and "address." That's the minimal computational unit, so you got to look in the brain for those. You're never going to find them if you look for strengthening of synaptic connections or field properties, and so on. You've got to start by looking for what's there and what's working and you see that from Marr's highest level.

it's basically in the spirit of Marr's analysis. So when you're studying vision, he argues, you first ask what kind of computational tasks is the visual system carrying out. And then you look for an algorithm that might carry out those computations and finally you search for mechanisms of the kind that would make the algorithm work. Otherwise, you may never find anything.

"Good Old Fashioned AI," as it's labeled now, made strong use of formalisms in the tradition of Gottlob Frege and Bertrand Russell, mathematical logic for example, or derivatives of it, like nonmonotonic reasoning and so on. It's interesting from a history of science perspective that even very recently, these approaches have been almost wiped out from the mainstream and have been largely replaced -- in the field that calls itself AI now -- by probabilistic and statistical models. My question is, what do you think explains that shift and is it a step in the right direction?

AI and robotics got to the point where you could actually do things that were useful, so it turned to the practical applications and somewhat, maybe not abandoned, but put to the side, the more fundamental scientific questions, just caught up in the success of the technology and achieving specific goals.

The approximating unanalyzed data kind is sort of a new approach, not totally, there's things like it in the past. It's basically a new approach that has been accelerated by the existence of massive memories, very rapid processing, which enables you to do things like this that you couldn't have done by hand. But I think, myself, that it is leading subjects like computational cognitive science into a direction of maybe some practical applicability... ..in engineering? Chomsky: ...But away from understanding.

I was very skeptical about the original work. I thought it was first of all way too optimistic, it was assuming you could achieve things that required real understanding of systems that were barely understood, and you just can't get to that understanding by throwing a complicated machine at it.

if success is defined as getting a fair approximation to a mass of chaotic unanalyzed data, then it's way better to do it this way than to do it the way the physicists do, you know, no thought experiments about frictionless planes and so on and so forth. But you won't get the kind of understanding that the sciences have always been aimed at -- what you'll get at is an approximation to what's happening.

Suppose you want to predict tomorrow's weather. One way to do it is okay I'll get my statistical priors, if you like, there's a high probability that tomorrow's weather here will be the same as it was yesterday in Cleveland, so I'll stick that in, and where the sun is will have some effect, so I'll stick that in, and you get a bunch of assumptions like that, you run the experiment, you look at it over and over again, you correct it by Bayesian methods, you get better priors. You get a pretty good approximation of what tomorrow's weather is going to be. That's not what meteorologists do -- they want to understand how it's working. And these are just two different concepts of what success means, of what achievement is.

if you get more and more data, and better and better statistics, you can get a better and better approximation to some immense corpus of text, like everything in The Wall Street Journal archives -- but you learn nothing about the language.

the right approach, is to try to see if you can understand what the fundamental principles are that deal with the core properties, and recognize that in the actual usage, there's going to be a thousand other variables intervening -- kind of like what's happening outside the window, and you'll sort of tack those on later on if you want better approximations, that's a different approach.

take a concrete example of a new field in neuroscience, called Connectomics, where the goal is to find the wiring diagram of very complex organisms, find the connectivity of all the neurons in say human cerebral cortex, or mouse cortex. This approach was criticized by Sidney Brenner, who in many ways is [historically] one of the originators of the approach. Advocates of this field don't stop to ask if the wiring diagram is the right level of abstraction -- maybe it's no

if you went to MIT in the 1960s, or now, it's completely different. No matter what engineering field you're in, you learn the same basic science and mathematics. And then maybe you learn a little bit about how to apply it. But that's a very different approach. And it resulted maybe from the fact that really for the first time in history, the basic sciences, like physics, had something really to tell engineers. And besides, technologies began to change very fast, so not very much point in learning the technologies of today if it's going to be different 10 years from now. So you have to learn the fundamental science that's going to be applicable to whatever comes along next. And the same thing pretty much happened in medicine.

that's the kind of transition from something like an art, that you learn how to practice -- an analog would be trying to match some data that you don't understand, in some fashion, maybe building something that will work -- to science, what happened in the modern period, roughly Galilean science.

it turns out that there actually are neural circuits which are reacting to particular kinds of rhythm, which happen to show up in language, like syllable length and so on. And there's some evidence that that's one of the first things that the infant brain is seeking -- rhythmic structures. And going back to Gallistel and Marr, its got some computational system inside which is saying "okay, here's what I do with these things" and say, by nine months, the typical infant has rejected -- eliminated from its repertoire -- the phonetic distinctions that aren't used in its own language.

people like Shimon Ullman discovered some pretty remarkable things like the rigidity principle. You're not going to find that by statistical analysis of data. But he did find it by carefully designed experiments. Then you look for the neurophysiology, and see if you can find something there that carries out these computations. I think it's the same in language, the same in studying our arithmetical capacity, planning, almost anything you look at. Just trying to deal with the unanalyzed chaotic data is unlikely to get you anywhere, just like as it wouldn't have gotten Galileo anywhere.

with regard to cognitive science, we're kind of pre-Galilean, just beginning to open up the subject

You can invent a world -- I don't think it's our world -- but you can invent a world in which nothing happens except random changes in objects and selection on the basis of external forces. I don't think that's the way our world works, I don't think it's the way any biologist thinks it is. There are all kind of ways in which natural law imposes channels within which selection can take place, and some things can happen and other things don't happen. Plenty of things that go on in the biology in organisms aren't like this. So take the first step, meiosis. Why do cells split into spheres and not cubes? It's not random mutation and natural selection; it's a law of physics. There's no reason to think that laws of physics stop there, they work all the way through. Well, they constrain the biology, sure. Chomsky: Okay, well then it's not just random mutation and selection. It's random mutation, selection, and everything that matters, like laws of physics.

What I think is valuable is the history of science. I think we learn a lot of things from the history of science that can be very valuable to the emerging sciences. Particularly when we realize that in say, the emerging cognitive sciences, we really are in a kind of pre-Galilean stage. We don't know wh

at we're looking for anymore than Galileo did, and there's a lot to learn from that.

Even before the evolution of a central brain, nervous systems took advantage of a simple computing trick: competition.

It coordinates something called overt attention – aiming the satellite dishes of the eyes, ears, and nose toward anything important.

Selective enhancement therefore probably evolved sometime between hydras and arthropods—between about 700 and 600 million years ago, close to the beginning of complex, multicellular life

The next evolutionary advance was a centralized controller for attention that could coordinate among all senses. In many animals, that central controller is a brain area called the tectum

At any moment only a few neurons win that intense competition, their signals rising up above the noise and impacting the animal’s behavior. This process is called selective signal enhancement, and without it, a nervous system can do almost nothing.

All vertebrates—fish, reptiles, birds, and mammals—have a tectum. Even lampreys have one, and they appeared so early in evolution that they don’t even have a lower jaw. But as far as anyone knows, the tectum is absent from all invertebrates

According to fossil and genetic evidence, vertebrates evolved around 520 million years ago. The tectum and the central control of attention probably evolved around then, during the so-called Cambrian Explosion when vertebrates were tiny wriggling creatures competing with a vast range of invertebrates in the sea.

The tectum is a beautiful piece of engineering. To control the head and the eyes efficiently, it constructs something called an internal model, a feature well known to engineers. An internal model is a simulation that keeps track of whatever is being controlled and allows for predictions and planning.

The tectum’s internal model is a set of information encoded in the complex pattern of activity of the neurons. That information simulates the current state of the eyes, head, and other major body parts, making predictions about how these body parts will move next and about the consequences of their movement

In fish and amphibians, the tectum is the pinnacle of sophistication and the largest part of the brain. A frog has a pretty good simulation of itself.

With the evolution of reptiles around 350 to 300 million years ago, a new brain structure began to emerge – the wulst. Birds inherited a wulst from their reptile ancestors. Mammals did too, but our version is usually called the cerebral cortex and has expanded enormously

The cortex also takes in sensory signals and coordinates movement, but it has a more flexible repertoire. Depending on context, you might look toward, look away, make a sound, do a dance, or simply store the sensory event in memory in case the information is useful for the future.

The most important difference between the cortex and the tectum may be the kind of attention they control. The tectum is the master of overt attention—pointing the sensory apparatus toward anything important. The cortex ups the ante with something called covert attention. You don’t need to look directly at something to covertly attend to it. Even if you’ve turned your back on an object, your cortex can still focus its processing resources on it

The cortex needs to control that virtual movement, and therefore like any efficient controller it needs an internal model. Unlike the tectum, which models concrete objects like the eyes and the head, the cortex must model something much more abstract. According to the AST, it does so by constructing an attention schema—a constantly updated set of information that describes what covert attention is doing moment-by-moment and what its consequences are

Covert attention isn’t intangible. It has a physical basis, but that physical basis lies in the microscopic details of neurons, synapses, and signals. The brain has no need to know those details. The attention schema is therefore strategically vague. It depicts covert attention in a physically incoherent way, as a non-physical essence

this, according to the theory, is the origin of consciousness. We say we have consciousness because deep in the brain, something quite primitive is computing that semi-magical self-description.

I’m reminded of Teddy Roosevelt’s famous quote, “Do what you can with what you have where you are.” Evolution is the master of that kind of opportunism. Fins become feet. Gill arches become jaws. And self-models become models of others. In the AST, the attention schema first evolved as a model of one’s own covert attention. But once the basic mechanism was in place, according to the theory, it was further adapted to model the attentional states of others, to allow for social prediction. Not only could the brain attribute consciousness to itself, it began to attribute consciousness to others.

In the AST’s evolutionary story, social cognition begins to ramp up shortly after the reptilian wulst evolved. Crocodiles may not be the most socially complex creatures on earth, but they live in large communities, care for their young, and can make loyal if somewhat dangerous pets.

If AST is correct, 300 million years of reptilian, avian, and mammalian evolution have allowed the self-model and the social model to evolve in tandem, each influencing the other. We understand other people by projecting ourselves onto them. But we also understand ourselves by considering the way other people might see us.

t the cortical networks in the human brain that allow us to attribute consciousness to others overlap extensively with the networks that construct our own sense of consciousness.

Language is perhaps the most recent big leap in the evolution of consciousness. Nobody knows when human language first evolved. Certainly we had it by 70 thousand years ago when people began to disperse around the world, since all dispersed groups have a sophisticated language. The relationship between language and consciousness is often debated, but we can be sure of at least this much: once we developed language, we could talk about consciousness and compare notes

Maybe partly because of language and culture, humans have a hair-trigger tendency to attribute consciousness to everything around us. We attribute consciousness to characters in a story, puppets and dolls, storms, rivers, empty spaces, ghosts and gods. Justin Barrett called it the Hyperactive Agency Detection Device, or HADD

the HADD goes way beyond detecting predators. It’s a consequence of our hyper-social nature. Evolution turned up the amplitude on our tendency to model others and now we’re supremely attuned to each other’s mind states. It gives us our adaptive edge. The inevitable side effect is the detection of false positives, or ghosts.

it helped shift moral psychology away from rationalist models that dominated in the 1980s and 1990s. In its place Haidt offered an understanding of morality from an intuitive and automatic level. As Haidt says on his website, “we are just not very good at thinking open-mindedly about moral issues, so rationalist models end up being poor descriptions of actual moral psychology.”

“the mind is divided into parts that sometimes conflict. Like a rider on the back of an elephant, the conscious, reasoning part of the mind has only limited control of what the elephant does.”

In the last few decades psychology began to understand the unconscious mind not as dark and suppressed as Freud did, but as intuitive, highly intelligent and necessary for good conscious reasoning. “Elephants,” he reminded me, “are really smart, much smarter than horses.”

we are 90 percent chimp 10 percent bee. That is to say, though we are inherently selfish, human nature is also about being what he terms “groupish.” He explained to me like this:

they developed the idea that humans possess six universal moral modules, or moral “foundations,” that get built upon to varying degrees across culture and time. They are: Care/harm, Fairness/cheating, Loyalty/betrayal, Authority/subversion, Sanctity/degradation, and Liberty/oppression. Haidt describes these six modules like a “tongue with six taste receptors.” “In this analogy,” he explains in the book, “the moral matrix of a culture is something like its cuisine: it’s a cultural construction, influenced by accidents of environment and history, but it’s not so flexible that anything goes. You can’t have a cuisine based on grass and tree bark, or even one based primarily on bitter tastes. Cuisines vary, but they all must please tongues equipped with the same five taste receptors. Moral matrices vary, but they all must please righteous minds equipped with the same six social receptors.”

The questionnaire eventually manifested itself into the website www.YourMorals.org, and it has since gathered over two hundred thousand data points. Here is what they found:

This is the crux of the disagreement between liberals and conservatives. As the graph illustrates, liberals value Care and Fairness much more than the other three moral foundations whereas conservative endorse all five more or less equally. This shouldn’t sound too surprising, liberals tend to value universal rights and reject the idea of the United States being superior while conservatives tend to be less concerned about the latest United Nation declaration and more partial to the United States as a superior nation.

Haidt began reading political psychology. Karen Stenner’s The Authoritarian Dynamic, “conveyed some key insights about protecting the group that were particularly insightful,” he said. The work of the French sociologist Emile Durkheim was also vital. In contrast to John Stuart Mill, a Durkheimian society, as Haidt explains in an essay for edge.org, “would value self-control over self-expression, duty over rights, and loyalty to one’s groups over concerns for out-groups.”

He was motivated to write The Righteous Mind after Kerry lost the 2004 election: “I thought he did a terrible job of making moral appeals so I began thinking about how I could apply moral psychology to understand political divisions. I started studying the politics of culture and realized how liberals and conservatives lived in their own closed worlds.” Each of these worlds, as Haidt explains in the book, “provides a complete, unified, and emotionally compelling worldview, easily justified by observable evidence and nearly impregnable to attack by arguments from outsiders.” He describes them as “moral matrices,” and thinks that moral psychology can help him understand them.

“When I say that human nature is selfish, I mean that our minds contain a variety of mental mechanisms that make us adept at promoting our own interests, in competition with our peers. When I say that human nature is also groupish, I mean that our minds contain a variety of mental mechanisms that make us adept at promoting our group’s interests, in competition with other groups. We are not saints, but we are sometimes good team players.” This is what people who had studied morality had not realized, “that we evolved not just so I can treat you well or compete with you, but at the same time we can compete with them.”

At first, Haidt reminds us that we are all trapped in a moral matrix where

our “elephants” only look for what confirms its moral intuitions while our “riders” play the role of the lawyer; we team up with people who share similar matrices and become close-minded; and we forget that morality is diverse. But on the other hand, Haidt is offering us a choice: take the blue pill and remain happily delusional about your worldview, or take the red pill, and, as he said in his 2008 TED talk, “learn some moral psychology and step outside your moral matrix.”

The great Asian religions, Haidt reminded the crowd at TED, swallowed their pride and took the red pill millennia ago. And by stepping out of their moral matrices they realized that societies flourish when they value all of the moral foundations to some degree. This is why Ying and Yang aren’t enemies, “they are both necessary, like night and day, for the functioning of the world.” Or, similarly, why the two of the high Gods in Hinduism, Vishnu the preserver (who stands for conservative principles) and Shiva the destroyer (who stands for liberal principles) work together.

He learned that when you are attacking your opponent, you have to hit his strengths because his weaknesses will take care of themselves. Political discourse, he came to see, is not really a debate about issues; it is a verbal contest to deny your opponents of standing, or as we would say, legitimacy. “Of the three elections that I fought, none was a debate on the country’s future. All were vicious battles over standing.”

” These tiny balls of brain tissue include neurons supported by a cortex-like network of glial cells.

when faced with a change that has the potential to make us more likely to survive, some brains are able to adapt more easily than others.

Daniel Amen has studied over 63,000 brains using brain imaging to study blood flow and activity patterns.

One interesting conclusion of his studies is that a healthy brain is much better equipped to make positive changes and stick to them.

The discovery of brain plasticity has proven that you can help people change their brains almost immediately, by providing an environment to support learning

brain learns better when it is healthy, adopting a healthier lifestyle can help learners develop brains that are more receptive to change and new ideas.

Even a few drinks a week can reduce overall brain function and create areas of reduced brain function.

Prolonged exposure to high blood pressure not only restricts blood flow to the brain, but increase the risk of dementia, heart attack and stroke.

a physical pattern, in the form of neural connections, is formed in the brain. Every time we go over this pattern by revisiting this thought, we make the behavior stronger.

Brains with a high degree of new activity tend to stay that way. Brains that are slow to learn new things gradually lose some of their ability to change.

In our sleep-deprived world, the average adult is walking around in a brain-induced fog. The brain uses sleep to rebuild and reorganize. Sleep deprivation can result in lower brain performance and less ability to change.

Counter to previous beliefs, meditation has been shown to activate the cerebral cortex, which is the seat of conscious thought.

Rabies moves at a predictable rate, replicating every eight to 10 hours, moving rapidly through chains of neurons and revealing a network. The researchers could allow the virus to move up the nervous system and reach the brain but could sacrifice the monkey before it showed any symptoms of infection.

When the virus has had enough time to travel a predictable distance, the researchers anesthetize the animal, wash out its blood, perfuse the central nervous system with fixatives, and use antibodies to detect where the virus has spread. The kills were timed to various stages to create a map. By the time you’ve gone through several sets of synapses that mapping is an enormous task. There’s an exponential increase in the number of neurons.

the researchers were astounded at what they saw. The motor areas in the brain connect to the adrenal glands. In the primary motor cortex of the brain, there’s a map of the human body—areas that correspond to the face, arm, and leg area, as well as a region that controls the axial body muscles (known to many people now as “the core”).

“Something about axial control has an impact on stress responses,” Strick reasons. “There’s all this evidence that core strengthening has an impact on stress. And when you see somebody that's depressed or stressed out, you notice changes in their posture. When you stand up straight, it has an effect on how you project yourself and how you feel.  Well, lo and behold, core muscles have an impact on stress. And I suspect that if you activate core muscles inappropriately with poor posture, that’s going to have an impact on stress.”

“These neural pathways might explain our intuitive sense for why there are many different strategies for coping with stress,” said Bruno. “I like the examples they give in the paper—that maybe this is why yoga and pilates are so successful. But there are lots of other things where people talk about mental imagery and all sorts of other ways that people deal with stress. I think having so many neural pathways having direct lines to the stress control system, that’s really interesting.”

Bruno specializes more in sensory neuroscience, so he read a more into the findings in the primary somatosensory cortex. Some of these tactile areas in the brain seem to be providing as much input to the adrenal medulla as the cortical areas. “To me that's really new and interesting,” said Bruno. “It might explain why certain sensations we find very relaxing or stressful.”

“It's not clear to me—from our work, and from their work—that what we call motor cortex is really motor cortex,” he said. “Maybe the primary sensory cortex is doing something more than we thought. When I see results like these, I go, hm, maybe these areas aren’t so simple.”

With this come implications for what’s currently known as “psychosomatic illness”—how the mind has an impact over organ functions. The name tends to have a bad connotation. The notion that this mind-body connection isn’t really real; that psychosomatic illnesses are “all in your head.” Elaborate connections like this would explain that, yes, it is all in your head. The fact that cortical areas in the brain that have multi-synaptic connections that control organ function could strip the negative connotations

As he put it, “How we move, think, and feel have an impact on the stress response through real neural connections.”

Though it remains unclear at what point the ancestors of modern humans first started to develop spoken language, we know that our Homo sapiens predecessors emerged around 150,000–200,000 years ago. So, Prof. Pagel explains, complex speech is likely at least as old as that

A study led by researchers from Lund University in Sweden found that committed language students experienced growth in the hippocampus, a brain region associated with learning and spatial navigation, as well as in parts of the cerebral cortex, or the outmost layer of the brain.

In fact, researchers have drawn many connections between bilingualism or multilingualism and the maintenance of brain health

Multiple studies, for instance, have found that bilingualism can protect the brain against Alzheimer’s disease and other forms of dementia.

Being bilingual has other benefits, too, such as training the brain to process information efficiently while expending only the necessary resources on the tasks at hand.

Research now shows that her assessment was absolutely correct — the language that we use does change not only the way we think and express ourselves, but also how we perceive and interact with the world.

Language holds such power over our minds, decision-making processes, and lives, so Broditsky concludes by encouraging us to consider how we might use it to shape the way we think about ourselves and the world.