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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.)

Synaptic Plasticity and Spike Synchronisation in Neuronal Networks

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Author(s):
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Borges, Rafael R. [1] ; Borges, Fernando S. [2] ; Lameu, Ewandson L. [3] ; Protachevicz, Paulo R. [4] ; Iarosz, Kelly C. [2, 5] ; Caldas, Ibere L. [2] ; Viana, Ricardo L. [6] ; Macau, Elbert E. N. [3] ; Baptista, Murilo S. [5] ; Grebogi, Celso [5] ; Batista, Antonio M. [5, 2, 4, 7]
Total Authors: 11
Affiliation:
[1] Univ Tecnol Fed Parana, Dept Math, Apucarana, PR - Brazil
[2] Univ Sao Paulo, Inst Phys, Sao Paulo, SP - Brazil
[3] Natl Inst Space Res, Sao Jose Dos Campos, SP - Brazil
[4] Univ Estadual Ponta Grossa, Sci, Ponta Grossa, PR - Brazil
[5] Univ Aberdeen, Inst Complex Syst & Math Biol, Kings Coll, Aberdeen AB24 3UE - Scotland
[6] Univ Fed Parana, Dept Phys, Curitiba, PR - Brazil
[7] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, PR - Brazil
Total Affiliations: 7
Document type: Journal article
Source: Brazilian Journal of Physics; v. 47, n. 6, p. 678-688, DEC 2017.
Web of Science Citations: 2
Abstract

Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal adaptation in response to changes in the environment or due to brain injury. In this review, we show our results about the effects of synaptic plasticity on neuronal networks composed by Hodgkin-Huxley neurons. We show that the final topology of the evolved network depends crucially on the ratio between the strengths of the inhibitory and excitatory synapses. Excitation of the same order of inhibition revels an evolved network that presents the rich-club phenomenon, well known to exist in the brain. For initial networks with considerably larger inhibitory strengths, we observe the emergence of a complex evolved topology, where neurons sparsely connected to other neurons, also a typical topology of the brain. The presence of noise enhances the strength of both types of synapses, but if the initial network has synapses of both natures with similar strengths. Finally, we show how the synchronous behaviour of the evolved network will reflect its evolved topology. (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