Interplay of multiple synaptic plasticity features in filamentary memristive devices for neuromorphic computing.

ABSTRACT: Bio-inspired computing represents today a major challenge at different levels ranging from material science for the design of innovative devices and circuits to computer science for the understanding of the key features required for processing of natural data. In this paper, we propose a detail analysis of resistive switching dynamics in electrochemical metallization cells for synaptic plasticity implementation. We show how filament stability associated to joule effect during switching can be used to emulate key synaptic features such as short term to long term plasticity transition and spike timing dependent plasticity. Furthermore, an interplay between these different synaptic features is demonstrated for object motion detection in a spike-based neuromorphic circuit. System level simulat

SUBMITTER: La Barbera S 

PROVIDER: S-EPMC5159796 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature