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An Evolvable Organic Electrochemical Transistor for Neuromorphic Applications

机译:用于神经形态应用的可进化有机电化学晶体管

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摘要

An evolvable organic electrochemical transistor (OECT), operating in the hybrid accumulation–depletion mode is reported, which exhibits short‐term and long‐term memory functionalities. The transistor channel, formed by an electropolymerized conducting polymer, can be formed, modulated, and obliterated in situ and under operation. Enduring changes in channel conductance, analogous to long‐term potentiation and depression, are attained by electropolymerization and electrochemical overoxidation of the channel material, respectively. Transient changes in channel conductance, analogous to short‐term potentiation and depression, are accomplished by inducing nonequilibrium doping states within the transistor channel. By manipulating the input signal, the strength of the transistor response to a given stimulus can be modulated within a range that spans several orders of magnitude, producing behavior that is directly comparable to short‐ and long‐term neuroplasticity. The evolvable transistor is further incorporated into a simple circuit that mimics classical conditioning. It is forecasted that OECTs that can be physically and electronically modulated under operation will bring about a new paradigm of machine learning based on evolvable organic electronics.
机译:据报道,一种可演化的有机电化学晶体管(OECT)以混合累积-耗尽模式运行,具有短期和长期记忆功能。由电聚合的导电聚合物形成的晶体管通道可以在运行中原位形成,调制和消除。分别通过通道材料的电聚合和电化学过氧化分别实现了类似于长期增强和抑制的持久性变化。类似于短期的增强和抑制,沟道电导的瞬态变化是通过在晶体管沟道内引起非平衡掺杂状态来实现的。通过操纵输入信号,可以在跨越几个数量级的范围内调节晶体管对给定刺激的响应强度,从而产生与短期和长期神经可塑性直接可比的行为。可进化的晶体管还被并入模拟经典条件的简单电路中。可以预测,可以在操作下进行物理和电子调制的OECTs将基于可进化的有机电子技术带来新的机器学习范式。

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