Heterogeneous ion-modulated 2D-WS2 heterosynaptic memtransistor for controllable synaptic modulation and energy-efficient neuromorphic computing

Abstract

Heterosynaptic plasticity plays a key role in addressing the interactions between local and global neuromodulation and the implementation of more complex biological functions. However, conventional heterosynaptic devices suffer from high energy consumption, high operating voltages and a lack of multi-modal regulation, which hinder the development of next-generation neuromorphic computing. Here, we report a heterogeneous ion-modulated 2D-WS2 four-terminal heterosynaptic memtransistor (Na+@WSHMT) with typical heterosynaptic plasticity at low stimulation voltage (200 mV) and ultra-low energy consumption (150 aJ). Moreover, the potential of four-terminal heterosynaptic memtransistors is demonstrated for enhancing the digit recognition with an increased recognition accuracy from 90.5 % to 93.3 % by stimulating the heterosynaptic terminal (light). Furthermore, convolutional image processing such as feature extraction is successfully performed by a convolutional neural network based on the multi-conductance characteristic of Na+@WSHMT. The ion-modulated heterosynaptic memtransistor provide a promising strategy for energy-efficient and controllable neuromorphic computing.