A Multi-Spiking Neural Network Learning Model for Data Classification

Classical Artificial Neural Networks (ANNs) though well exploited in solving classification problems, do not model perfectly the information encoding process in the human brain because ANNs encode information using rate-based coding. However, biological neurons in the brain are known to encode infor...

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Bibliografske podrobnosti

Principais autores:	Baagyere Edward Yellakuor, Agebure Apambila Moses, Qin Zhen, Oyetunji Elkanah Olaosebikan, Zhiguang Qin
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2020-01-01
Serija:	IEEE Access
Teme:	Multi-spiking neural network supervised learning temporal coding
Online dostop:	https://ieeexplore.ieee.org/document/9055210/
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