Short-term and spike-timing-dependent plasticity f... - BV FAPESP
Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks

Full text
Author(s):
Lameu, Ewandson L. [1] ; Borges, Fernando S. [2] ; larosz, Kelly C. [3] ; Protachevicz, Paulo R. [3] ; Antonopoulos, Chris G. [4] ; Macau, Elbert E. N. [1, 5] ; Batista, Antonio M. [3, 6]
Total Authors: 7
Affiliation:
[1] Natl Inst Space Res, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[2] Fed Univ ABC, Ctr Math Computat & Cognit, BR-09606045 Sao Bernardo Do Campo, SP - Brazil
[3] Univ Sao Paulo, Inst Phys, BR-05508900 Sao Paulo - Brazil
[4] Univ Essex, Dept Math Sci, Wivenhoe Pk, Colchester, Essex - England
[5] Univ Fed Sao Paulo, BR-12247014 Sao Jose Dos Campos, SP - Brazil
[6] Univ Estadual Ponta Grossa, Dept Math & Stat, BR-84030900 Ponta Grossa, Parana - Brazil
Total Affiliations: 6
Document type: Journal article
Source: COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION; v. 96, MAY 2021.
Web of Science Citations: 0
Abstract

The brain has the phenomenal ability to reorganise itself by forming new connections among neurons and by pruning others. The so-called neural or brain plasticity facilitates the modification of brain structure and function over different time scales. Plasticity might occur due to external stimuli received from the environment, during recovery from brain injury, or due to modifications within the body and brain itself. In this paper, we study the combined effect of short-term (STP) and spike-timing-dependent plasticity (STDP) on the synaptic strength of excitatory coupled Hodgkin-Huxley neurons and show that plasticity can facilitate the formation of modular neural networks with complex topologies that resemble those of networks with preferential attachment properties. In particular, we use an STDP rule that alters the synaptic coupling intensity based on time intervals between spikes of postsynaptic and presynaptic neurons. Previous work has shown that STDP may induce the emergence of directed connections from high to low frequency spiking neurons. On the other hand, STP is attributed to the release of neurotransmitters in the synaptic cleft of neurons that alter its synaptic efficiency. Our results suggest that the combined effect of STP and STDP with long recovery times facilitates the formation of connections among neurons with similar spike frequencies only, a kind of preferential attachment. We then pursue this further and show that, when starting with all-to-all neural configurations, depending on the STP recovery time and distribution of neural frequencies, modular neural networks can emerge as a direct result of the combined effect of STP and STDP. (c) 2020 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
Grantee:Elbert Einstein Nehrer Macau
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 17/13502-5 - Synchronisation in time-delayed networks with synaptic plasticity
Grantee:Ewandson Luiz Lameu
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 16/23398-8 - Synaptic plasticity in neuronal networks with time delay
Grantee:Ewandson Luiz Lameu
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 15/07311-7 - Dynamic behaviour of neural networks
Grantee:Kelly Cristiane Iarosz
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 17/18977-1 - Analysis of Electrical Synapses Contribution in Neuronal Synchronization
Grantee:Fernando da Silva Borges
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 17/20920-8 - Plasticity in neuronal networks
Grantee:Kelly Cristiane Iarosz
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 20/04624-2 - Synaptic plasticity in neuronal networks
Grantee:Paulo Ricardo Protachevicz
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 11/19296-1 - Nonlinear dynamics
Grantee:Iberê Luiz Caldas
Support Opportunities: Research Projects - Thematic Grants