Authors: Eugene Kagan 1 and Shai Yona 2

Affiliations: 1 Department of Industrial Engineering, Ariel University, Ariel, Israel, LAMBDA Lab, Tel-Aviv University, Tel-Aviv and Israel ; 2 Department of Industrial Engineering, Ariel University, Ariel and Israel

ISBN: 978-989-758-350-6

ISSN: 2184-433X

Keyword(s): Neural Network, Oscillating Neurons, Mobile Neurons, Neurons Ensemble, Entropy.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Cognitive Systems ; Computational Intelligence ; Cooperation and Coordination ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Self Organizing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Theory and Methods

Abstract: Functionality of neural networks is based on changing connectivity between the neurons. Usually, such changes follow certain learning procedures that define which neurons are interconnected and what is the strength of the connection. The connected neurons form the distinguished groups also known as Hebbian ensembles that can act during long time or can disintegrate into smaller groups or even into separate neurons. In the paper, we consider the mechanism of assembling / disassembling of the groups of neurons. In contrast to the traditional approaches, we set ourselves to “the neuron’s point of view” and assume that the neuron chooses the neuron to connect with following the difference between the current individual entropy and the expected entropy of the ensemble. The states of the neurons are defined by the well-known Hodgkin-Huxley model and the entropy of the neuron and the neuron’s ensemble is calculated using the Klimontovich method. The suggested model is illustrated by numerica l simulations that demonstrate its close relation with the known self-organizing systems and the dynamical models of the brain activity. (More)

PDF ImageFull Text


Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kagan, E. and Yona, S. (2019). Oscillating Mobile Neurons with Entropic Assembling.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-350-6, ISSN 2184-433X, pages 260-266. DOI: 10.5220/0007571202600266

author={Kagan, E. and Shai Yona.},
title={Oscillating Mobile Neurons with Entropic Assembling},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},


JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Oscillating Mobile Neurons with Entropic Assembling
SN - 978-989-758-350-6
AU - Kagan, E.
AU - Yona, S.
PY - 2019
SP - 260
EP - 266
DO - 10.5220/0007571202600266

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.