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TEL AVIV UNIVERSITY REVIEW<br />
Summer 2010<br />
functioning. Currently, he’s working<br />
together with engineering specialists<br />
on a circuit of the brain that controls<br />
very basic motor learning, such as<br />
blinking in anticipation of a blow to<br />
the eye area.<br />
“We’re beginning with a circuit<br />
that is simple enough that we can<br />
claim we underst<strong>and</strong> it, but is still<br />
complex enough to be attractive for<br />
research because it has a cognitive<br />
function <strong>and</strong> can learn things,” says<br />
Mintz. Using this particular circuit,<br />
the brain learns the right timing to<br />
perform various motor functions<br />
based on visual <strong>and</strong> auditory cues. If<br />
the circuit is damaged, this ability to<br />
learn <strong>and</strong> carry out basic motor functions<br />
is lost.<br />
“Our goal is to correct the brain’s<br />
dysfunction by designing a silicon<br />
chip that performs as well as the oncenormal<br />
circuitry,” explains Mintz.<br />
Using electrodes, the researchers<br />
record brain activity from the inputs<br />
of the damaged<br />
circuit <strong>and</strong><br />
play it back to the output of the damaged<br />
circuit through the replacement<br />
chip, thereby making a connection<br />
between the healthy circuits in the<br />
brain <strong>and</strong> bypassing the damaged circuit.<br />
In fact, Mintz points out, the<br />
process is similar to a cardiac bypass.<br />
As simple a task as this may sound,<br />
it is in fact so complex that many scientists<br />
believe it can’t be done at all,<br />
<strong>and</strong> the project has pulled in teams<br />
from across continents. In Israel,<br />
Mintz’s collaborators are Professors<br />
Yosi Shacham <strong>and</strong> Hagit Messer-<br />
Yaron, <strong>and</strong> Dr. Mira Marcus-Kalish,<br />
all of TAU.<br />
Mintz is confident that eventually<br />
their mission will be accomplished,<br />
<strong>and</strong> that practical applications of<br />
their research could include permanent<br />
treatments for Parkinson’s <strong>and</strong><br />
other neurodegenerative disorders.<br />
“This development won’t occur<br />
hundreds of years in the future, but<br />
rather in the next decade or two,”<br />
he says. “It’s unclear whether manmade<br />
circuits can ever replace<br />
the sites that control complex<br />
cognitive functions such as<br />
language, but we strongly<br />
believe they can when it<br />
comes to simpler motor <strong>and</strong><br />
sensory processes. We’re on<br />
the right track.”<br />
nition. Yovel has discovered that the<br />
way the brain processes faces is entirely<br />
different from the way it processes<br />
inanimate objects or other body<br />
parts.<br />
What makes the process of facial<br />
recognition so unique, Yovel says, is<br />
that it is holistic. “When we look at<br />
a face, we don’t usually try to recognize<br />
the individual features separately.<br />
Instead we see it as one integrated<br />
object.”<br />
Because of this holistic process,<br />
people are easily fooled by a new haircut<br />
or glasses, as Yovel <strong>and</strong> another of<br />
her PhD students, Vadim Axelrod,<br />
discovered by showing test subjects<br />
pictures of faces with the same basic<br />
facial features (eyes, nose <strong>and</strong> mouth)<br />
but varying external features.<br />
“The brain’s being influenced by<br />
external features demonstrates its holistic<br />
processing,” comments Yovel.<br />
“It takes in all the bits of information<br />
together, so that facial features interact<br />
with one another – they’re not<br />
processed independently.”<br />
Part of this process is shaped by<br />
individual experience; for example,<br />
Dr. Galit<br />
Yovel (right)<br />
with PhD<br />
student Talia<br />
Br<strong>and</strong>man<br />
Face forward<br />
In our lifetime we encounter<br />
hundreds of thous<strong>and</strong>s<br />
of people, so how do we recognize<br />
the faces we know? It turns<br />
out that although it usually takes<br />
only several milliseconds to recognize<br />
a face, we do so via a specialized <strong>and</strong><br />
exceptionally complex mechanism in<br />
the brain.<br />
Combining MRI <strong>and</strong> electrophysiology<br />
techniques, Dr. Galit Yovel of<br />
TAU’s Department of Psychology<br />
<strong>and</strong> her PhD student Boaz Sadeh<br />
study the biology of facial recog-<br />
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