Investigation of generalization ability of a trained stochastic kinetic model of neuron

Aleksandra Świetlicka, Krzysztof Kolanowski, Rafał Kapela, Mirosław Galicki and Andrzej Rybarczyk

Applied Mathematics and Computation, 2018, vol. 319, issue C, 115-124

Abstract: In this work we focus on the generalization ability of a biological neuron model. We consider a Hodgkin–Huxley type of biological neuron model, based on Markov kinetic schemes, trained with the gradient descent algorithm.

Keywords: Kinetic model of neuron; Markov kinetic schemes; Gradient descent; Generalization ability; Image processing; Noise reduction (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:319:y:2018:i:c:p:115-124

DOI: 10.1016/j.amc.2017.01.058

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