Dendritic Integration Regulation and Neuronal Arithmetic Implemented in a Proton-Coupled Neuron Transistor

TL;DR

This paper demonstrates a proton-coupled oxide transistor that mimics neuronal dendritic integration and gain control, advancing neuromorphic hardware for brain-inspired computing.

Contribution

It introduces a novel proton-coupled transistor device that replicates dendritic regulation and neuronal arithmetic, enabling more realistic neuromorphic systems.

Findings

Realized regulation of dendritic integration via voltage tuning.

Mimicked neuronal gain control in temporal and rate coding schemes.

Provided a proof-of-principle artificial neuron with multiple inputs.

Abstract

Neuron is the most important building block in our brain, and information processing in individual neuron involves the transformation of input synaptic spike trains into an appropriate output spike train. Hardware implementation of neuron by individual ionic/electronic coupled device is of great importance for enhancing our understanding of the brain and solving sensory processing and complex recognition tasks. Here, we provide a proof-of-principle artificial neuron with multiple presynaptic inputs and one modulatory terminal based on a proton-coupled oxide-based electric-double-layer transistor. Regulation of dendritic integration was realized by tuning the voltage applied on the modulatory terminal. Additionally, neuronal gain control (arithmetic) in the scheme of temporal-correlated coding and rate coding are also mimicked. Our results provide a new-concept approach for building brain-inspired neuromorphic systems.