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Transcript
Creating new devices that emulate human
biological synapses
29 September 2016, by Patrick J. Callahan
Engineers at the University of Massachusetts
Amherst are leading a research team that is
developing a new type of nanodevice for computer
microprocessors that can mimic the functioning of
a biological synapse—the place where a signal
passes from one nerve cell to another in the body.
The work is featured in the advance online
publication of Nature Materials.
They say that most previous work in this field with
memristors has not implemented diffusive
dynamics without using large standard technology
found in integrated circuits commonly used in
microprocessors, microcontrollers, static random
access memory and other digital logic circuits.
The researchers say they proposed and
demonstrated a bio-inspired solution to the diffusive
dynamics that is fundamentally different from the
Such neuromorphic computing in which
standard technology for integrated circuits while
microprocessors are configured more like human
brains is one of the most promising transformative sharing great similarities with synapses. They say,
"Specifically, we developed a diffusive-type
computing technologies currently under study.
memristor where diffusion of atoms offers a similar
J. Joshua Yang and Qiangfei Xia are professors in dynamics and the needed time-scales as its biocounterpart, leading to a more faithful emulation of
the electrical and computer engineering
actual synapses, i.e., a true synaptic emulator."
department in the UMass Amherst College of
Engineering. Yang describes the research as part
of collaborative work on a new type of memristive The researchers say, "The results here provide an
encouraging pathway toward synaptic emulation
device.
using diffusive memristors for neuromorphic
computing."
Memristive devices are electrical resistance
switches that can alter their resistance based on
The title of the article is "Memristors with diffusive
the history of applied voltage and current. These
dynamics as synaptic emulators for neuromorphic
devices can store and process information and
offer several key performance characteristics that computing."
exceed conventional integrated circuit technology.
More information: Zhongrui Wang et al.
"Memristors have become a leading candidate to
Memristors with diffusive dynamics as synaptic
enable neuromorphic computing by reproducing
emulators for neuromorphic computing, Nature
the functions in biological synapses and neurons in Materials (2016). DOI: 10.1038/nmat4756
a neural network system, while providing
advantages in energy and size," the researchers
say.
Provided by University of Massachusetts Amherst
Neuromorphic computing—meaning
microprocessors configured more like human
brains than like traditional computer chips—is one
of the most promising transformative computing
technologies currently under intensive study. Xia
says, "This work opens a new avenue of
neuromorphic computing hardware based on
memristors."
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APA citation: Creating new devices that emulate human biological synapses (2016, September 29)
retrieved 12 May 2017 from https://phys.org/news/2016-09-devices-emulate-human-biologicalsynapses.html
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