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Synaptic plasticity in neuronal networks with time delay

Grant number: 16/23398-8
Support Opportunities:Scholarships in Brazil - Post-Doctorate
Effective date (Start): March 01, 2017
Effective date (End): March 01, 2020
Field of knowledge:Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
Acordo de Cooperação: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal Investigator:Elbert Einstein Nehrer Macau
Grantee:Ewandson Luiz Lameu
Host Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovações (Brasil). São José dos Campos , SP, Brazil
Associated research grant:15/50122-0 - Dynamic phenomena in complex networks: basics and applications, AP.TEM
Associated scholarship(s):17/13502-5 - Synchronisation in time-delayed networks with synaptic plasticity, BE.EP.PD

Abstract

In this project, we pretend to investigate the synchronization of neuronal spikes in a network with synaptic plasticity and signal propagation delay. The synchronization is related to various neurological disorders such as Parkinson's disease and epilepsy, so it is important to evaluate the processes by which occurs and ways to suppress this behavior. Neuronal dynamics will be described by Hodgkin-Huxley model considering excitatory and inhibitory chemical synapses with a time delay. We will consider the plasticity model known as "spike timing-dependent plasticity"(STDP) which are changes in synaptic interactions according to the times of spikes between neurons. We will analyze the changes in the neuronal connectivity caused by noise, the onset of partial or global synchronization of the network and the effect of topological symmetries between neural connections. (AU)

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Scientific publications (11)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BORGES, F. S.; PROTACHEVICZ, P. R.; PENA, R. F. O.; LAMEU, E. L.; HIGA, V, G. S.; KIHARA, J. A. H.; MATIAS, F. S.; ANTONOPOULOS, C. G.; DE PASQUALE, R.; ROQUE, A. C.; et al. Self-sustained activity of low firing rate in balanced networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 537, . (16/23398-8, 13/07699-0, 15/50122-0, 17/18977-1, 15/07311-7, 11/19296-1, 17/13502-5, 17/20920-8, 17/26439-0, 13/25667-8)
LAMEU, EWANDSON L.; BORGES, FERNANDO S.; LAROSZ, KELLY C.; PROTACHEVICZ, PAULO R.; ANTONOPOULOS, CHRIS G.; MACAU, ELBERT E. N.; BATISTA, ANTONIO M.. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, v. 96, . (15/50122-0, 17/13502-5, 16/23398-8, 15/07311-7, 17/18977-1, 17/20920-8, 20/04624-2, 11/19296-1)
PROTACHEVICZ, P. R.; BORGES, R. R.; REIS, A. S.; BORGES, F. S.; IAROSZ, K. C.; CALDAS, I. L.; LAMEU, E. L.; MACAU, E. E. N.; VIANA, R. L.; SOKOLOV, I. M.; et al. Synchronous behaviour in network model based on human cortico-cortical connections. Physiological Measurement, v. 39, n. 7, . (15/50122-0, 16/23398-8, 11/19296-1, 17/20920-8, 15/07311-7, 17/13502-5, 17/18977-1)
PROTACHEVICZ, P. R.; BORGES, F. S.; IAROSZ, K. C.; CALDAS, I. L.; BAPTISTA, M. S.; VIANA, R. L.; LAMEU, E. L.; MACAU, E. E. N.; BATISTA, A. M.. How synapses can enhance sensibility of a neural network. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 492, p. 1045-1052, . (15/07311-7, 11/19296-1, 16/23398-8, 16/16148-5, 15/50122-0)
LAMEU, E. L.; YANCHUK, S.; MACAU, E. E. N.; BORGES, F. S.; IAROSZ, K. C.; CALDAS, I. L.; PROTACHEVICZ, P. R.; BORGES, R. R.; VIANA, R. L.; SZEZECH, JR., J. D.; et al. Recurrence quantification analysis for the identification of burst phase synchronisation. Chaos, v. 28, n. 8, . (17/18977-1, 17/20920-8, 16/23398-8, 15/07311-7, 17/13502-5, 15/50122-0, 11/19296-1)
ROEHR, VERA; BERNER, RICO; LAMEU, EWANDSON L.; POPOVYCH, V, OLEKSANDR; YANCHUK, SERHIY. Frequency cluster formation and slow oscillations in neural populations with plasticity. PLoS One, v. 14, n. 11, . (16/23398-8, 17/13502-5)
MUGNAINE, MICHELE; REIS, ADRIANE S.; BORGES, FERNANDO S.; BORGES, RAFAEL R.; FERRARI, FABIANO A. S.; IAROSZ, KELLY C.; CALDAS, IBERE L.; LAMEU, EWANDSON L.; VIANA, RICARDO L.; SZEZECH, JR., JOSE D.; et al. Delayed feedback control of phase synchronisation in a neuronal network model. European Physical Journal-Special Topics, v. 227, n. 10-11, p. 1151-1160, . (17/18977-1, 17/20920-8, 16/23398-8, 15/07311-7, 17/13502-5, 15/50122-0, 11/19296-1)
LAMEU, E. L.; MACAU, E. E. N.; BORGES, F. S.; IAROSZ, K. C.; CALDAS, I. L.; BORGES, R. R.; PROTACHEVICZ, P. R.; VIANA, R. L.; BATISTA, A. M.. Alterations in brain connectivity due to plasticity and synaptic delay. European Physical Journal-Special Topics, v. 227, n. 5-6, p. 673-682, . (17/18977-1, 17/20920-8, 16/23398-8, 15/07311-7, 17/13502-5, 15/50122-0, 11/19296-1)
PROTACHEVICZ, PAULO R.; BORGES, FERNANDO S.; LAMEU, EWANDSON L.; JI, PENG; IAROSZ, KELLY C.; KIHARA, ALEXANDRE H.; CALDAS, LBERE L.; SZEZECH JR, JOSE D.; BAPTISTE, MURILO S.; MACAU, ELBERT E. N.; et al. Bistable Firing Pattern in a Neural Network Model. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v. 13, . (17/18977-1, 16/23398-8, 16/16148-5, 15/07311-7, 17/13502-5, 15/50122-0, 18/03211-6)
BORGES, F. S.; LAMEU, E. L.; IAROSZ, K. C.; PROTACHEVICZ, P. R.; CALDAS, I. L.; VIANA, R. L.; MACAU, E. E. N.; BATISTA, A. M.; BAPTISTA, M. S.. Inference of topology and the nature of synapses, and the flow of information in neuronal networks. Physical Review E, v. 97, n. 2, . (16/23398-8, 16/16148-5, 15/07311-7, 15/50122-0, 11/19296-1)
BORGES, RAFAEL R.; BORGES, FERNANDO S.; LAMEU, EWANDSON L.; PROTACHEVICZ, PAULO R.; IAROSZ, KELLY C.; CALDAS, IBERE L.; VIANA, RICARDO L.; MACAU, ELBERT E. N.; BAPTISTA, MURILO S.; GREBOGI, CELSO; et al. Synaptic Plasticity and Spike Synchronisation in Neuronal Networks. Brazilian Journal of Physics, v. 47, n. 6, p. 678-688, . (16/23398-8, 16/16148-5, 15/07311-7, 15/50122-0, 11/19296-1)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.