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Synaptic plasticity in self-powered artificial striate cortex for binocular orientation selectivity

Engineering and Technology

Synaptic plasticity in self-powered artificial striate cortex for binocular orientation selectivity

Y. Ren, X. Bu, et al.

Dive into groundbreaking research conducted by Yanyun Ren, Xiaobo Bu, Ming Wang, and their team, as they unveil a bioinspired striate cortex powered by self-powered memristors. This innovative system showcases plasticity modulated by optical stimuli and demonstrates remarkable edge and corner detection capabilities for machine vision.

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Playback language: English
Abstract
This paper reports a bioinspired striate cortex with binocular and orientation-selective receptive fields, based on a crossbar array of self-powered memristors. The memristors exhibit plasticity modulated by optical stimuli following triplet-STDP rules. A 3x3 flexible crossbar array demonstrated successful plasticity modulation using a generalized BCM learning rule for optical-encoded pattern recognition. An artificial striate cortex with binocularity and orientation selectivity was implemented using two simulated 9x9 self-powered memristor networks. This emulation facilitates edge and corner detection for machine vision.
Publisher
Nature Communications
Published On
Sep 23, 2022
Authors
Yanyun Ren, Xiaobo Bu, Ming Wang, Yue Gong, Junjie Wang, Yuyang Yang, Guijun Li, Meng Zhang, Ye Zhou, Su-Ting Han
Tags
bioinspired
memristors
plasticity
pattern recognition
machine vision
striate cortex
optical stimuli
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