Competitive Perceptrons: The Relevance of Modeling New Bioinspired Properties Such as Intrinsic Plasticity, Metaplasticity, and Lateral Inhibition of Rate-Coding Artificial Neurons

Competitive Perceptrons: The Relevance of Modeling New Bioinspired Properties Such as Intrinsic Plasticity, Metaplasticity, and Lateral Inhibition of Rate-Coding Artificial Neurons

This article supports the relevance of modeling new bioinspired properties in rate-coding artificial neurons, focusing on fundamental neural properties rarely implemented thus far in artificial neurons, such as intrinsic plasticity, the metaplasticity of synaptic strength, and the lateral inhibition...

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Bibliographic Details
Main Author: Diego Andina
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Biomimetics
Subjects:
neuroplasticity
artificial metaplasticity
intrinsic plasticity
lateral inhibition
winner takes-it-all learning rule
laterally inhibited perceptron
Online Access:https://www.mdpi.com/2313-7673/8/8/564

Internet

https://www.mdpi.com/2313-7673/8/8/564

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