A Multi-Spiking Neural Network Learning Model for Data Classification

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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Bibliographic Details
Main Authors: Baagyere Edward Yellakuor, Agebure Apambila Moses, Qin Zhen, Oyetunji Elkanah Olaosebikan, Zhiguang Qin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-spiking neural network
supervised learning
temporal coding
Online Access:https://ieeexplore.ieee.org/document/9055210/

Internet

https://ieeexplore.ieee.org/document/9055210/

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