A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science

A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science

The study presents a bio-inspired chaos sensor model based on the perceptron neural network for the estimation of entropy of spike train in neurodynamic systems. After training, the sensor on perceptron, having 50 neurons in the hidden layer and 1 neuron at the output, approximates the fuzzy entropy...

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Bibliographic Details
Main Authors: Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
chaos sensor
perceptron
entropy
biosensor
Hindmarsh–Rose neuron model
Online Access:https://www.mdpi.com/1424-8220/23/16/7137

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