神经形态工程学
尖峰神经网络
轴突丘
计算机科学
数码产品
人工神经网络
CMOS芯片
电子工程
电子线路
人工智能
神经科学
电气工程
轴突
工程类
生物
作者
Mohammad Javad Hosseini,Elisa Donati,Tomoyuki Yokota,Sunghoon Lee,Giacomo Indiveri,Takao Someya,Robert A. Nawrocki
标识
DOI:10.1088/1361-6463/abc585
摘要
Abstract Spiking neural networks (SNNs) have emerged as a promising computational paradigm to emulate the features of natural neural tissue physiology. While hardware implementations of SNNs are being conceived to emulate biological systems, they typically rely on hard and rigid silicon electronics that are not bio-compatible. In the physical, or materials realm, organic electronics offer mechanical flexibility and bio-compatibility, allowing for the construction of neural processing systems that can be directly interfaced to biological networks. This study introduces an organic electronics implementation of an Integrate-and-Fire spiking neuron based on the Axon-Hillock CMOS circuit. The circuit employs organic p-type and n-type field effective transistors and reproduces the behavior of the CMOS neuromorphic counterpart. We demonstrate its operating characteristics measuring its spike rate output as a function of its input current. We show how it properly integrates input currents and demonstrate its computing abilities in a basic current summing experiment. The static and dynamic power dissipation is calculated to be less than 0.4 and 40 µ W, respectively. This is the first demonstration of the spiking Axon-Hillock neuromorphic circuit using organic materials.
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