European project to map
brain
One of Europe’s leading neurosciences’ research institutions is teaming
up with IBM to create a detailed 3D model of the brain. Researchers hope
that more detailed knowledge of the brain’s micro-circuitry will help in
understanding and treating a number of psychiatric conditions such as
autism, schizophrenia and depression. The joint venture may also lead to new
treatments for variant CJD, the human form of ‘mad cow’ disease.
Switzerland’s Ecole Polytechnique Fédérale de Lausanne (EPFL) is joining
with IBM’s Zurich Research Labs to create a detailed map of the circuitry in
the neocortex: the largest and most complicated part of the human brain.
Over time, researchers will expand the mapping project to cover the detailed
micro-circuitry of other parts of the brain. Ultimately, they hope to
achieve an accurate, computer-based model of the circuitry of the entire
brain.
Using a digital model, scientists at EPFL will run computer-based
simulations of the brain at the molecular level that aim to shed light on
internal processes such as thought, perception and memory. Researchers also
hope to carry out detailed studies of particular areas of neural networking
that are thought to be linked with certain psychiatric disorders.
“Modelling the brain at the cellular level is a massive undertaking
because of the hundreds of thousands of parameters that need to be taken
into account”, said Professor Henry Makram of EPFL, who is leading the
project. “We are embarking on one of the most ambitious research initiatives
ever undertaken in the field of neuroscience.”
Professor Makram is the founder of the Brain and Mind Institute at EPFL.
In more than 10 years of laboratory research, the Institute has assembled
what it claims is the world’s largest set of empirical data on the micro
architecture of the neocortex, the part of the brain responsible for all
higher mental functions.
The first phase of the project will be to make a software replica of a
column of the neocortex. The neocortex constitutes about 85% of the human
brain’s total mass and is thought to be responsible for the cognitive
functions of language, learning, memory and complex thought. Recent research
has shown that humans have proportionally no greater volume of neocortex
than other primates, or many higher mammals. Nor do humans have any greater
density of neurons: in fact, human brains appear to be less dense than many
smaller mammals. What human brains do appear to possess is greater
complexity in brain structure and far greater density of neural connections.
The EPFL researchers hope to create an exact map of these connections, and a
model of how they interact.
An accurate replica of the neocortical column will be the first step to
simulating the whole brain. It will also provide researchers with the link
between genetic, molecular and cognitive levels of brain function. The
second and subsequent phases will expand the simulation to include circuitry
from other brain regions and eventually the whole brain.
Researchers from IBM’s Zurich labs will utilise EPFL’s existing empirical
dataset to create a working 3D model that simulates the electro-chemical
interactions of the brain’s interior.
At the centre of the research efforts will be an IBM Blue Gene
supercomputer. Developed by IBM together with the National Nuclear Security
Agency, the US defence body that designs and tests America’s nuclear bombs,
Blue Gene installations include the San Diego Supercomputing Centre, the
Argonne National Laboratory and the University of Edinburgh. The world’s
most powerful computer is the Blue Gene installation at the Lawrence
Livermore National Laboratory, the home of ‘Star wars’. The system that will
be installed at EPFL will occupy the floor space of about four
refrigerators, and will have a peak processing speed of at least 22.8
trillion floating-point operations per second (22.8 teraflops).
When not number crunching for Professor Makram’s team, physicists from EPFL
and IBM will use the computer to research post-CMOS technologies like carbon
nanotubes. Other EPFL teams will use it to study the problem of controlling
high-energy plasmas: the key to harnessing thermonuclear power; and yet
others will study protein folding and its role in the development of vCJD.

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