Obama’s Brain Activity Map Project expected to receive billions in
budget

Chris Davies, Feb 18th 2013
A ten year project, the Brain Activity Map, that attempts to fathom
the deepest workings of the human brain at a cost of billions of
dollars is expected to feature in President Obama’s budget proposal
next month, scientists have revealed. The collaborative research
effort, hoping to do for our understanding of neurology and brain
activity what the Human Genome Project did for genetic discovery, will
see federal agencies along with private institutions receive a huge
boost in funding, sources told the NYTimes, with potential
applications in Alzheimer’s and Parkinson’s treatment, in the
development of artificial intelligence, and other avenues.

Four scientists and representatives of research institutions have
confirmed they have already been involved in planning the Brain
Activity Map project, though the US government would not comment on
the speculation. However, it’s expected to be managed by the Office of
Science and Technology Policy, insiders claim, with involvement from
DARPA, the National Science Foundation, and the National Institues of
Health.

The new project was, in fact, teased during Obama’s State of the Union
address last week, where the president pointed out that brain research
should be among the top ideas the government must invest in.
Apparently pre-empting concerns about the costs the Brain Activity Map
project might involve, Obama highlighted that each dollar invested
into human genome mapping “returned $140 to our economy.”

As for private sector involvement, although neuroscientists and
nanoscientists are expected to do the heavy lifting, there are some
familiar names believed to already be adding their input. Google,
Microsoft, and Qualcomm are all said to have had representatives at a
mid-January planning meeting, the subject of which was developing
computers that could collect, store, and manipulate the sort and scale
of data the Brain Activity Map project would involve.

Such technology did, in fact, exist, was the conclusion, though the
technology to actually gather the data still needs work. Current
methods of tracking brain activity are either inaccurate or demand
invasive application of probes. One possible alternative is using
tiny, molecule-scale machines that would individually monitor brain
cells, though it’s unclear how close to such systems we are in
practice.

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