A flexible thermal-coupled InGaZnO adaptive synapse

Abstract

The development of neuromorphic sensory systems necessitates synaptic devices with adaptivity to a wide range of stimuli. Furthermore, the introduction of multimodal adaptivity is highly favorable, which holds immense potential for improving the processing capability of the neuromorphic system under complex environments. In this work, we report a thermal-coupled adaptive synapse (TCAS) by integrating an IGZO-based synaptic transistor with a laser-induced graphene micro-heater. This synapse enables active modulation of nonlinear short-term plasticity gains through temperature and voltage co-mediated ion/electron coupling, which facilitates the high adaptivity for image denoising. The images with multilevel signals can be effectively denoised with an average reduction of ∼84.0% in the Euclidean distance in comparison with the noisy images. This outcome indicates the effectiveness of TCASs in complex sensory processing and offers a promising solution for the development of neuromorphic systems with multimodal adaptability.