OS12-1 Adaptive STDP Learning with Lateral Inhibition for Neuromorphic Systems

Title:	OS12-1 Adaptive STDP Learning with Lateral Inhibition for Neuromorphic Systems
Publication:	ICAROB2023
Volume:	28
Pages:	289-292
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2023.OS12-1
Author(s):	Ashish Gautam, Takashi Kohno
Publication Date:	February 9, 2023
Keywords:	Adaptive STDP, Pattern detection, Synaptic efficacy, Neuromorphic chips, Lateral inhibition
Abstract:	Implementing biologically plausible learning rules on neuromorphic chips is essential to explore the learning mechanisms in the brain. Spike-timing dependent plasticity (STDP) is one such rule but its multi-bit circuit implementation requires too much area. In our previous study, we proposed a hardware-friendly learning rule named adaptive STDP and experimentally showed that its performance was similar to STDP learning in a very basic biologically plausible spike pattern detection task using a single neuron. In this study, we extend the adaptive STDP learning rule with lateral inhibition, a common motif observed in the brain, and apply to a spike pattern detection model with multiple neurons that compete to detect multiple patterns. Our results show that the performance is similar to that with STDP learning.
PDF File:	https://alife-robotics.co.jp/members2023/icarob/data/html/data/OS/OS12/OS12-1.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/

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