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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Detalles Bibliográficos
Autores principales: Velichko, Andrei, Boriskov, Petr, Belyaev, Maksim, Putrolaynen, Vadim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458403/
https://www.ncbi.nlm.nih.gov/pubmed/37631674
http://dx.doi.org/10.3390/s23167137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458403/
https://www.ncbi.nlm.nih.gov/pubmed/37631674
http://dx.doi.org/10.3390/s23167137

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