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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

How synapses can enhance sensibility of a neural network

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Author(s):
Protachevicz, P. R. [1] ; Borges, F. S. [2] ; Iarosz, K. C. [2, 3] ; Caldas, I. L. [2] ; Baptista, M. S. [3] ; Viana, R. L. [4] ; Lameu, E. L. [5] ; Macau, E. E. N. [6, 5] ; Batista, A. M. [1, 7, 2, 3]
Total Authors: 9
Affiliation:
[1] Univ Estadual Ponta Grossa, Ponta Grossa, PR - Brazil
[2] Univ Sao Paulo, Phys Inst, Sao Paulo, SP - Brazil
[3] SUPA, Inst Complex Syst & Math Biol, Aberdeen - Scotland
[4] Univ Fed Parana, Phys Dept, Curitiba, PR - Brazil
[5] Natl Inst Space Res, Sao Jose Dos Campos, SP - Brazil
[6] Univ Fed Sao Paulo, Inst Sci & Technol, Sao Jose Dos Campos, SP - Brazil
[7] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, PR - Brazil
Total Affiliations: 7
Document type: Journal article
Source: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 492, p. 1045-1052, FEB 15 2018.
Web of Science Citations: 0
Abstract

In this work, we study the dynamic range in a neural network modelled by cellular automaton. We consider deterministic and non-deterministic rules to simulate electrical and chemical synapses. Chemical synapses have an intrinsic time-delay and are susceptible to parameter variations guided by learning Hebbian rules of behaviour. The learning rules are related to neuroplasticity that describes change to the neural connections in the brain. Our results show that chemical synapses can abruptly enhance sensibility of the neural network, a manifestation that can become even more predominant if learning rules of evolution are applied to the chemical synapses. (C) 2017 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 15/07311-7 - Dynamic behaviour of neural networks
Grantee:Kelly Cristiane Iarosz
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 11/19296-1 - Nonlinear dynamics
Grantee:Iberê Luiz Caldas
Support type: Research Projects - Thematic Grants
FAPESP's process: 16/23398-8 - Synaptic plasticity in neuronal networks with time delay
Grantee:Ewandson Luiz Lameu
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 16/16148-5 - Synchronous behaviour and synaptic plasticity in complex networks
Grantee:Kelly Cristiane Iarosz
Support type: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
Grantee:Elbert Einstein Nehrer Macau
Support type: Research Projects - Thematic Grants