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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." 1/2 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 This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. 2/2 Powered by TCPDF (www.tcpdf.org)