Synchronisation in time-delayed networks with synaptic plasticity

• Grant number: 17/13502-5
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• Start date: November 01, 2017
• End date: October 31, 2018
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Elbert Einstein Nehrer Macau
• Grantee: Ewandson Luiz Lameu
• Supervisor: Jurgen Kurths
• Host Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovação (Brasil). São José dos Campos , SP, Brazil
• Institution abroad: Humboldt University, Germany
• Associated to the scholarship: 16/23398-8 - Synaptic plasticity in neuronal networks with time delay, BP.PD

Abstract

In this project we are proposing to implement and develop a methodology, initially built within the scope of the project 2016/23398-8, in order to study synchronisation of spikes in a network with synaptic plasticity and propagation delay. The dynamics of neurons can be associated with thatof relaxation oscillators, so several properties observed in neural networks can be applied in other areas such as climatic studies and engineering problems such as coupled circuits.The neural synchronisation is related to variousneurological disorders such as Parkinson's disease and epilepsy, so it is important to evaluate the processes by which occurs and ways to suppress this behaviour. 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" which are changes in synaptic interactions according to the times of spikes between neurons. To achieve this goal we rely on the expertise of the researchers of the institution to be visited, which is our partner in the thematic project 2015/501220.

Scientific publications

(9)

(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, JAN 1 2020. (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, MAY 2021. (15/50122-0, 17/13502-5, 16/23398-8, 15/07311-7, 17/18977-1, 17/20920-8, 20/04624-2, 11/19296-1)

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, AUG 2018. (17/18977-1, 17/20920-8, 16/23398-8, 15/07311-7, 17/13502-5, 15/50122-0, 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, JUL 2018. (15/50122-0, 16/23398-8, 11/19296-1, 17/20920-8, 15/07311-7, 17/13502-5, 17/18977-1)

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, NOV 2018. (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, SEP 2018. (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, NOV 14 2019. (16/23398-8, 17/13502-5)

PROTACHEVICZ, PAULO RICARDO; BORGES, FERNANDO DA SILVA; BATISTA, ANTONIO MARCOS; BAPTISTA, MURILO DA SILVA; CALDAS, IBERE LUIZ; MACAU, ELBERT EINSTEIN NEHRER; LAMEU, EWANDSON LUIZ. Plastic neural network with transmission delays promotes equivalence between function and structure. CHAOS SOLITONS & FRACTALS, v. 171, p. 9-pg., 2023-04-26. (20/04624-2, 22/05153-9, 16/23398-8, 22/13761-9, 18/03211-6, 17/13502-5)

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, APR 5 2019. (17/18977-1, 16/23398-8, 16/16148-5, 15/07311-7, 17/13502-5, 15/50122-0, 18/03211-6)