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IBM scientists create most comprehensive map of the brain's network
July 28, 2010
The Proceedings of the National Academy of Sciences (PNAS) published Tuesday
a landmark paper entitled "Network architecture of the long-distance
pathways in the macaque brain" (an open-access paper) by Dharmendra S. Modha
(IBM Almaden) and Raghavendra Singh (IBM Research-India) with major
implications for reverse-engineering the brain and developing a network of
cognitive-computing chips.

"We have successfully uncovered and mapped the most comprehensive
long-distance network of the Macaque monkey brain, which is essential for
understanding the brain's behavior, complexity, dynamics and computation,"
Dr. Modha says. "We can now gain unprecedented insight into how information
travels and is processed across the brain.

"We have collated a comprehensive, consistent, concise, coherent, and
colossal network spanning the entire brain and grounded in anatomical
tracing studies that is a stepping stone to both fundamental and applied
research in neuroscience and cognitive computing."

The scientists focused on the long-distance network of 383 brain regions and
6,602 long-distance brain connections that travel through the brain's white
matter, which are like the "interstate highways" between far-flung brain
regions, he explained, while short-distance gray matter connections (based
on neurons) constitute "local roads" within a brain region and its
sub-structures.

Their research builds upon a publicly available database called Collation of
Connectivity data on the Macaque brain (CoCoMac), which compiles anatomical
tracing data from over 400 scientific reports from neuroanatomists published
over the last half-century.

"We studied four times the number of brain regions and have compiled nearly
three times the number of connections when compared to the largest previous
endeavor," he pointed out. "Our data may open up entirely new ways of
analyzing, understanding, and, eventually, imitating the network
architecture of the brain, which according to Marian C. Diamond and Arnold
B. Scheibel is "the most complex mass of protoplasm on earth-perhaps even in
our galaxy."

The center of higher cognition and consciousness?

The brain network they found contains a "tightly integrated core that might
be at the heart of higher cognition and even consciousness . and may be a
key to the age-old question of how the mind arises from the brain." The core
spans parts of premotor cortex, prefrontal cortex, temporal lobe, parietal
lobe, thalamus, basal ganglia, cingulate cortex, insula, and visual cortex.

Prefrontal cortex: integrator-distributor of information

By ranking brain regions (similar to how search engines rank web pages),
they found evidence that the prefrontal cortex, while physically located in
the front of the brain, is a functionally central part of the brain that
might act as an integrator and distributor of information. Think of it as a
switchboard.

As they stated in the PNAS paper, "The network opens the door to the
application of large-scale network-theoretic analysis that has been so
successful in understanding the Internet, metabolic networks, protein
interaction networks, various social networks, and in searching the
world-wide web. The network will be an indispensable foundation for
clinical, systems, cognitive, and computational neurosciences as well as
cognitive computing."

The findings will also help them design the routing architecture for a
network of cognitive computing chips, they suggest.

The research was sponsored by the Defense Advanced Research Projects Agency,
Defense Sciences Office, Program: Systems of Neuromorphic Adaptive Plastic
Scalable Electronics.

Dr. Modha presented the exciting findings of this study in a talk I attended
at the Toward A Science Of Consciousness conference in Tucson in April, but
he asked us to hold off on covering this until the formal paper appeared in
a peer-reviewed journal.

A detailed Powerpoint slide show with voice narration (60 slides, ~52
minutes, ~50 MB) is downloadable here.

Topics: Cognitive Science/Neuroscience







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