Polymer-based Transistor-type Memory and Artificial Synapses

Abstract

Polymer-based neuromorphic computing is the technology employing polymer materials to mimic the operation of the neural system of the human brain. Due to their remarkable mechanical properties and tuneable chemical and electrical features, soft polymer materials offer a possibility for biocompatible neuromorphic chips. In neuromorphic computing, memory is the core for all neural behaviors of bio-inspired neuromorphic devices. Therefore, the fundamental understanding of information storage mechanisms in polymer-based devices is essential for high-performance neuromorphic devices. In this chapter, we introduce the operation mechanisms and synaptic features of polymer-based transistor memory devices. The recent progress of polymer-based artificial synapses is also summarized. Through understanding the memory mechanisms and synaptic functions, this chapter provides a possible direction for the future implementation of polymer-based artificial intelligence systems.