Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons

Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons

A spiking neural network (SNN) is a type of artificial neural network that operates based on discrete spikes to process timing information, similar to the manner in which the human brain processes real-world problems. In this paper, we propose a new spiking neural network (SNN) based on conventional...

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Bibliographic Details
Main Authors:	Geunbo Yang, Wongyu Lee, Youjung Seo, Choongseop Lee, Woojoon Seok, Jongkil Park, Donggyu Sim, Cheolsoo Park
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Sensors
Subjects:	Bayesian inference leaky integrate-and-fire model spike timing-dependent plasticity spiking neural network unsupervised learning
Online Access:	https://www.mdpi.com/1424-8220/23/16/7232

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