Activating Silent Synapses in Sulfurized Indium Selenide for Neuromorphic Computing

Authors:
Publisher website
Google Scholar
Abstract
The transformation from silent to functional synapses is accompanied by the evolutionary process of human brain development and is essential to hardware implementation of the evolutionary artificial neural network but remains a challenge for mimicking silent to functional synapse activation. Here, we developed a simple approach to successfully realize activation of silent to functional synapses by controlled sulfurization of chemical vapor deposition-grown indium selenide crystals. The underlying mechanism is attributed to the migration of sulfur anions introduced by sulfurization. One of our most important findings is that the functional synaptic behaviors can be modulated by the degree of sulfurization and temperature. In addition, the essential synaptic behaviors including potentiation/depression, paired-pulse facilitation, and spike-rate-dependent plasticity are successfully implemented in the partially sulfurized functional synaptic device. The developed simple approach of introducing sulfur anions in layered selenide opens an effective new avenue to realize activation of silent synapses for application in evolutionary artificial neural networks.
Funding Information
  • Ministry of Education - Singapore (MOE-T2EP50220-0022, MOE2016-T2-2-141)
  • SUTD-ZJU Research Collaboration (SUTD-ZJU (VP) 201903, SUTD-ZJU/RES/05/2016)

This publication has 43 references indexed in Scilit: