Popular Mechanics - USA (2022-01 & 2022-02)

(Maropa) #1
January/February 2022 9

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nickel oxide as it reacted with oxygen in the air.
“You can think of the material as breathing oxy-
gen in and out,” explains Ramanathan. When
oxygen left the nickel oxide for the surrounding
air, that chemical reaction left electrons behind
in the semiconductor. And when the inf lux of oxy-
gen gas entered the material, it bonded with those
extra electrons. Those changes in the availability
of electrons, he says, changed how easy it was for an
electrical current to travel within the nickel oxide.
The team repeatedly added and withdrew the
hydrogen gas, reducing the time between exposures,
to see how this reaction changed over time. The first
time the nickel oxide was exposed to hydrogen gas,
it reacted strongly. After 15 minutes, around 99.
percent less electrical current was passing through.
But if scientists shortened the period between
hydrogen exposures to between 45 and 15 seconds,
they found there wasn’t as much oxygen available
to react with the second round of hydrogen. That
meant the electrical resistance didn’t change as
much during subsequent rounds—mirroring the
reaction-damping effect of habituation.
Researchers then sensitized the material using
ozone, a highly reactive gas made of three oxygen
molecules. When immersed in ozone, the nickel
oxide took in oxygen quickly, decreasing its electri-
cal resistance. Next time it was exposed to hydrogen
gas, there was more oxygen to attract the hydrogen—
and a stronger change in electrical resistance.
“This is an exact analog to biological systems,”
says Hai (Helen) Li, Ph.D., a professor of electri-
cal and computer engineering at Duke University,
who was a Ph.D. student of one of the co-authors

but did not work on the study. “[Humans] have
sensors and receive the external signals, and then
we process it immediately; it doesn’t have to pass
through something else.” Right now, machines
use different systems to receive information, then
process it—like how a camera takes in light and
then processes it into a photo. But in this study,
the changes in the nickel oxide’s electrical resis-
tance were a direct reaction to the gases in its
environment. Neuromorphic computing could
similarly enhance a computer’s ability to receive
and process information—when applied to devices
like cameras, these machines could become
smaller and more efficient. More generally, says
Li, our brains use very little power in comparison
to computers; successfully mimicking the brain’s
processes could therefore save energy.
Other devices could use the technology to self-
tailor to the consumers’ needs. Medical implants
with neuromorphic computing, says Li, could send
signals along an injured nerve to help people regain
use of paralyzed fingers or toes. Independent from
human programmers, such a device would make
its own decisions based on biological f luctuations.
Consumer products will require greater
advancement in the neuromorphic computing field
than this sole study, however. Here, habituation
and sensitization appeared as chemical reactions
to hydrogen and ozone, but computers run on an
electric current rather than hydrogen or ozone gas.
“Being able to do all of this by electrical stimulus
will be fascinating,” Ramanathan says. “Then you
can start to use traditional stimulus that is histor-
ically used in electronics.”

Shriram Ramanathan
and his colleagues
modeled their nickel
oxide experiments
after experiments pre-
viously conducted with
sea slugs in the genus
Aplysia. For centuries,
scientists have used
these slugs to study
learning, behavior,
and memory.
The slugs can

retain information for
weeks—a killer “long-
term” memory for an
organism with a year-
long life span—and
display a relatively high
level of neural plas-
ticity. It may not make
them “intelligent,” but
it does make them the
perfect subject for
researchers teasing
out the origins of

fundamental learning
behaviors like habitua-
tion and sensitization.
Aplysia’s colossal
neurons, the largest in
the animal kingdom,
can grow to 1 mm in
length. The neurons’
gargantuan size make
it easier for scientists
to physically see and
study physiological
responses to stimuli.

WHAT WE’RE


LEARNING


FROM SEA


SLUGS’ GIANT


NEURONS

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