Brain learns like a robotScan shows how we form opinions.
10 June 2004
TANGUY CHOUARD
 |
| Our brains learn the way
that AI robots do. |
| ©
SPL | | |
Researchers may have pinpointed the brain regions
that help us work out good from bad. And their results
suggest that humans and robots are more alike than we
may care to admit, as both use similar strategies to
make value judgements.
Ben Seymour from University College London and
colleagues used a functional magnetic resonance imaging
scanner to study the brain activity of 14 people as they
learned to distinguish a bad hunch from a good omen.
Subjects were shown arbitrary images and certain
combinations were followed by a painful electrical shock
delivered to the back of the hand, whereas others
prompted a less painful jolt.
After a few trials, subjects were subconsciously able
to predict the arrangements that spelled trouble. As
they learned, key regions of their brain lit up. The
research is published in this week's Nature1.
One illuminated area, the insula cortex, helps to
process emotions. Another, known as the ventral
striatum, is well known as the brain's motivation
centre. But this is the first time they have been
implicated in the ability to learn good from bad.
The trials mimic our ability to use conflicting
experiences to form value judgements. "This is the first
time such realistic learning scenarios have been
tackled," says computer neuroscientist Read Montague, of
Baylor College of Medicine in Houston, Texas.
Great expectations
The team also plotted brain activity on a graph to
give a mathematical description of processes that
underlie the formation of value judgements. The patterns
they saw resembled those made by robots as they learn
from experience.
"The results were astounding," says study co-author
Peter Dayan. "There was an almost perfect match between
the brain signals and the numerical functions used in
machine learning," he says. This suggests that our
brains are following the laws of artificial
intelligence.
"This is simply a terrific study", says Montague. It
is of paramount importance for a whole range of fields,
from neuroscience to engineering, and from psychology to
economics, he adds.
Tanguy Chouard is a senior editor at Nature |