Neurofiber Transistors: Dendritic Network Implementable Organic Neurofiber Transistors with Enhanced Memory Cyclic Endurance for Spatiotemporal Iterative Learning (Adv. Mater. 26/2021)

Abstract

Dendritic neural-network implementable organic neurofiber transistors with enhanced memory cyclic endurance for spatiotemporal iterative learning are developed by Hyunsu Ju, Jung Ah Lim, and co-workers in article number 2100475. These neurofiber transistors consisting of a double-stranded assembly of electrode microfibers and an iongel gate insulator enable a multichannel synaptic junction of a neural network via simple physical contact of gate-electrode microfibers, as the dendritic connections of a biological neuron fiber. This work provides insight into the design of the materials and architecture of organic neuromorphic devices with reliable artificial synaptic functionality for artificial neural network learning.