Digital design of a spatial-pow-STDP learning block with high accuracy utilizing pow CORDIC for large-scale image classifier spatiotemporal SNN

Digital design of a spatial-pow-STDP learning block with high accuracy utilizing pow CORDIC for large-scale image classifier spatiotemporal SNN

Abstract The paramount concern of highly accurate energy-efficient computing in machines with significant cognitive capabilities aims to enhance the accuracy and efficiency of bio-inspired Spiking Neural Networks (SNNs). This paper addresses this main objective by introducing a novel spatial power s...

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Bibliographic Details
Main Authors: Mohammad Kazem Bahrami, Soheila Nazari
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Bio-Inspired SNN
AMPA and GABA neurotransmitters
LIF neurons
Image classification
Spatial-Pow-STDP
Unsupervised learning
Online Access:https://doi.org/10.1038/s41598-024-54043-7

Internet

https://doi.org/10.1038/s41598-024-54043-7

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