SNNSim: Investigation and Optimization of Large‐Scale Analog Spiking Neural Networks Based on Flash Memory Devices

SNNSim: Investigation and Optimization of Large‐Scale Analog Spiking Neural Networks Based on Flash Memory Devices

Spiking neural networks (SNNs) have emerged as a novel approach for reducing computational costs by mimicking the biologically plausible operations of neurons and synapses. In this article, large‐scale analog SNNs are investigated and optimized at the hardware‐level by using SNNSim, the novel simula...

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Bibliographic Details
Main Authors: Jonghyun Ko, Dongseok Kwon, Joon Hwang, Kyu‐Ho Lee, Seongbin Oh, Jeonghyun Kim, Jiseong Im, Ryun‐Han Koo, Jae‐Joon Kim, Jong‐Ho Lee
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Advanced Intelligent Systems
Subjects:
hardware‐level
integrate‐and‐fire neuron
spiking neural networks
Online Access:https://doi.org/10.1002/aisy.202300456

Internet

https://doi.org/10.1002/aisy.202300456

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