journal article·2019-10Open access

Contents: (Adv. Funct. Mater. 42/2019)

Authors not provided

Advanced Functional Materials· Volume 29· Issue 42

Abstract

Recently, transistor-based artificial synapses have received much attention due to their good stability, relatively controllable test parameters, and clear operating mechanisms. In addition, they can perform concurrent learning, in which synaptic weight can be performed without interrupting the signal transmission process. This review summarizes recent advances in transistor-based artificial synapses.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Materials and Mechanics

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