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Identifying Thoughts Through Brain Codes Leads to Deciphering the Brain’s Dictionary

January 13, 2010 /

“In effect, we discovered how the brain’s dictionary is organized,” said Just, the D.O. Hebb Professor of Psychology and director of the Center for Cognitive Brain Imaging. “It isn’t alphabetical or ordered by the sizes of objects or their colors. It’s through the three basic features that the brain uses to define common nouns like apartment, hammer and carrot.”

As the researchers report January 12 in the journal PLoS One, the three codes or factors concern basic human fundamentals:

1. how you physically interact with the object (how you hold it, kick it, twist it, etc.);
2. how it is related to eating (biting, sipping, tasting, swallowing); and
3. how it is related to shelter or enclosure.

The three factors, each coded in three to five different locations in the brain, were found by a computer algorithm that searched for commonalities among brain areas in how participants responded to 60 different nouns describing physical objects. For example, the word apartment evoked high activation in the five areas that code shelter-related words.

Science Daily: Identifying Thoughts Through Brain Codes Leads to Deciphering the Brain’s Dictionary

MIT neuroengineers silence brain cells with multiple colors of light

January 10, 2010 /

Neuroscientists at MIT have developed a powerful new class of tools to reversibly shut down brain activity using different colors of light. When targeted to specific neurons, these tools could potentially lead to new treatments for the abnormal brain activity associated with disorders such as chronic pain, epilepsy, brain injury, and Parkinson’s disease. The tools work on the principle that such disorders might be best treated by silencing, rather than stimulating, brain activity. These “super silencers” exert exquisite control over the timing of the shutdown of overactive neural circuits – an effect that’s impossible with existing drugs or other conventional therapies.

“Silencing different sets of neurons with different colors of light allows us to understand how they work together to implement brain functions,” explains Ed Boyden, senior author of the study, to be published in the Jan. 7 issue of Nature. “Using these new tools, we can look at two neural pathways and study how they compute together. These tools will help us understand how to control neural circuits, leading to new understandings and treatments for brain disorders – some of the biggest unmet medical needs in the world.” Boyden is the Benesse Career Development Professor in the MIT Media Lab and an associate member of the McGovern Institute for Brain Research at MIT.

escience: MIT neuroengineers silence brain cells with multiple colors of light

(via Fadereu)

Reverse engineering the human brain’s ability to process visual data into usable information

January 3, 2010 /

The neural processing involved in visually recognizing even the simplest object in a natural environment is profound—and profoundly difficult to mimic. Neuroscientists have made broad advances in understanding the visual system, but much of the inner workings of biologically-based systems remain a mystery.

Using Graphics Processing Units (GPUs), the same technology video game designers use to render life-like graphics, researchers are now making progress faster than ever before. A new study, co-led by David Cox, Principal Investigator of the Visual Neuroscience Group at the Rowland Institute at Harvard, and Nicolas Pinto, a Ph.D. Candidate in James DiCarlo’s laboratory at the McGovern Institute for Brain Research and the Department of Brain and Cognitive Sciences at MIT, was published in the November 26th issue of PLoS Computational Biology.

“Reverse engineering a biological visual system—a system with hundreds of millions of processing units—and building an artificial system that works the same way is a daunting task,” says Cox. “It is not enough to simply assemble together a huge amount of computing power. We have to figure out how to put all the parts together so that they can do what our brains can do.”

PhysOrg: Researchers demonstrate a better way for computers to ‘see’

(via Swadeshine)

Are humans organisms or living ecosystems?

December 29, 2009 /

the emerging science of human-microbe symbiosis has an even greater implication. “Human beings are not really individuals; they’re communities of organisms,” says McFall-Ngai. It’s not just that our bodies serve as a habitat for other organisms; it’s also that we function with them as a collective. As the profound interrelationship between humans and microbes becomes more apparent, the distinction between host and hosted has become both less clear and less important?—?together we operate as a constantly evolving man-microbe kibbutz. Which raises a startling implication: If being Homo sapiens through and through implied a certain authority over our corporeal selves, we are now forced to relinquish some of that control to our inner-dwelling microbes. Ironically, the human ingenuity that drives us to understand more about ourselves is revealing that we’re much less “human” than we once thought.

Seed: The Body Politic

(Thanks Social Fiction)

See also:

The BacterioSphere

Networks, Bacteria, and the Illusion of Control

3D maps of the brain

December 28, 2009 /

3d maps of neuron connections

Van Wedeen, a Harvard radiology professor, is awestruck: “We’ve never really seen the brain – it’s been hiding in plain sight.” Conventional scanning has offered us a crude glimpse, but scientists such as Wedeen aim to produce the first ever three-dimensional map of all its neurons. They call this circuit diagram the “connectome”, and it could help us better understand everything from imagination and language to the miswirings that cause mental illness. But with 100 billion neurons hooked together by more connections than there are stars in the MilkyWay, the brain is a challenge that represents petabyte-level data.

Wired: Revealing the brain’s hidden connections

Research Shows the Importance of Imagination in Children’s Cognitive Development

December 24, 2009 /

Is the Tooth Fairy real? How about the garbage man? Those questions may seem trivial, but how young children answer them is an important indicator of cognitive development.

For years, imagination was thought of as a way for children to escape from reality, and once they reached a certain age, it was believed they would push fantasy aside and deal with the real world. But, increasingly, child-development experts are recognizing the importance of imagination and the role it plays in understanding reality. Imagination is necessary for learning about people and events we don’t directly experience, such as history or events on the other side of the world. For young kids, it allows them to ponder the future, such as what they want to do when they grow up.

Wall Street Journal: The Power of Magical Thinking

(Thanks Bill!)

Scientists discover how the brain encodes memories at a cellular level

December 24, 2009 /

Scientists at UC Santa Barbara have made a major discovery in how the brain encodes memories. The finding, published in the December 24 issue of the journal Neuron, could eventually lead to the development of new drugs to aid memory.

The team of scientists is the first to uncover a central process in encoding memories that occurs at the level of the synapse, where neurons connect with each other. […]

The production of new proteins can only occur when the RNA that will make the required proteins is turned on. Until then, the RNA is “locked up” by a silencing molecule, which is a micro RNA. The RNA and micro RNA are part of a package that includes several other proteins. […]

Part of strengthening a synapse involves making new proteins. Those proteins build the synapse and make it stronger. Just like with exercise, when new proteins must build up muscle mass, synapses must also make more protein when recording memories. In this research, the regulation and control of that process was uncovered.

The production of new proteins can only occur when the RNA that will make the required proteins is turned on. Until then, the RNA is “locked up” by a silencing molecule, which is a micro RNA. The RNA and micro RNA are part of a package that includes several other proteins. […]

When the signal comes in, the wrapping protein degrades or gets fragmented. Then the RNA is suddenly free to synthesize a new protein.

Physorg: Scientists discover how the brain encodes memories at a cellular level

(via Kurzweil via Cat Vincent)

The next big drug: designer neurostim

December 24, 2009 /

James Kent from Dose Nation writes:

The same neurostim device that uses electric impulses from a brain implant to treat people with Parkinson‘s Disease can be tweaked by a few millimeters and pulse rates to make cocaine addicts feel like they are high all the time. Neurostim isn‘t a cheap commodity yet, but in the future it could be. The “off label” demand for designer neurostim does not exist today, but if the implant procedure was automated and the price was reduced, it could be a very marketable alternative to long-term drug therapy. Cheap neurostim would then fuel an off-label market for cosmetic and personal use with subsidiary markets for designer software upgrades, patches, and applets to customize functionality. But first there needs to be consumer demand for the product, and that has yet to materialize.

h+: Cognitive Commodities in the Neuro Marketplace

(via Disinfo)

See also: The Curious Case of a Woman Addicted to Her Brain Implant)

Education: Learning Styles Debunked

December 21, 2009 /

Are you a verbal learner or a visual learner? Chances are, you’ve pegged yourself or your children as either one or the other and rely on study techniques that suit your individual learning needs. And you’re not alone — for more than 30 years, the notion that teaching methods should match a student’s particular learning style has exerted a powerful influence on education. The long-standing popularity of the learning styles movement has in turn created a thriving commercial market amongst researchers, educators, and the general public. […]

But does scientific research really support the existence of different learning styles, or the hypothesis that people learn better when taught in a way that matches their own unique style?

Unfortunately, the answer is no, according to a major new report published this month in Psychological Science in the Public Interest, a journal of the Association for Psychological Science. […]

Nearly all of the studies that purport to provide evidence for learning styles fail to satisfy key criteria for scientific validity. Any experiment designed to test the learning-styles hypothesis would need to classify learners into categories and then randomly assign the learners to use one of several different learning methods, and the participants would need to take the same test at the end of the experiment. If there is truth to the idea that learning styles and teaching styles should mesh, then learners with a given style, say visual-spatial, should learn better with instruction that meshes with that style. The authors found that of the very large number of studies claiming to support the learning-styles hypothesis, very few used this type of research design. Of those that did, some provided evidence flatly contradictory to this meshing hypothesis, and the few findings in line with the meshing idea did not assess popular learning-style schemes.

Science Daily: Education: Learning Styles Debunked

Is synaesthesia a high-level brain power?

December 18, 2009 /

THE word “synaesthesia” derives from the phrase “joining of the senses”, but the phenomenon might not be the uncontrollable perceptual mishmash that this implies. Instead, the condition may be the result of a special ability in the “higher” brain areas used for language and attention. […]

Ward’s explanation is that colours don’t “pop out” at synaesthetes automatically. Instead, they only see numbers in colour if they fall within their focus of attention. So when volunteers happened to aim their attention at the part of the display in which the shape was hidden, he reasons, they found it quickly, but when their focus captured none, or just a portion, of the shape, they performed no better than controls (see diagram). If Ward is right, this implies that higher aspects of the brain are unusual in synaesthesia, not just those involved in automatic perception.

New Scientist: Is synaesthesia a high-level brain power?

(via Atom Jack)

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