神经形态工程学
神经科学
神经可塑性
突触可塑性
可塑性
计算机科学
生物神经网络
变质塑性
突触
发育可塑性
晶体管
信号(编程语言)
神经传递
材料科学
人工神经网络
人工智能
生物
电压
电气工程
工程类
复合材料
受体
程序设计语言
生物化学
作者
Paschalis Gkoupidenis,Nathan Schaefer,Xenofon Strakosas,Jessamyn A. Fairfield,George G. Malliaras
摘要
Synaptic plasticity functions play a crucial role in the transmission of neural signals in the brain. Short-term plasticity is required for the transmission, encoding, and filtering of the neural signal, whereas long-term plasticity establishes more permanent changes in neural microcircuitry and thus underlies memory and learning. The realization of bioinspired circuits that can actually mimic signal processing in the brain demands the reproduction of both short- and long-term aspects of synaptic plasticity in a single device. Here, we demonstrate the implementation of neuromorphic functions similar to biological memory, such as short- to long-term memory transition, in non-volatile organic electrochemical transistors (OECTs). Depending on the training of the OECT, the device displays either short- or long-term plasticity, therefore, exhibiting non von Neumann characteristics with merged processing and storing functionalities. These results are a first step towards the implementation of organic-based neuromorphic circuits.
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