Energy Consumption and Entropy Production in a Stochastic Formulation of BCM Learning-Reference-Cited by-同舟云学术

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Energy Consumption and Entropy Production in a Stochastic Formulation of BCM Learning

Published:2021-03-01 Issue:3 Volume:28 Page:257-268
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Castellani Gastone¹,Cooper Leon N.²,De Oliveira Luciana Renata³,Blais Brian S.²⁴

Affiliation:

1. Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

2. Institute for Brain and Neural Systems, Brown University, Providence, Rhode Island, USA.

3. Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.

4. Department of Science and Technology, Bryant University, Smithfield, Rhode Island, USA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2020.0118

Reference29 articles.

1. The Effect of Noise on a Class of Energy-Based Learning Rules

2. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex

3. Receptive Field Formation in Natural Scene Environments: Comparison of Single-Cell Learning Rules

4. Effects of N- on quisqualate-stimulated phosphoinositide hydrolysis in slices of kitten striate cortex

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