Plasticity in neuronal networks

• Grant number: 17/20920-8
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• Effective date (Start): January 01, 2018
• Effective date (End): July 31, 2018
• Field of knowledge: Physical Sciences and Mathematics - Physics
• Principal Investigator: Iberê Luiz Caldas
• Grantee: Kelly Cristiane Iarosz
• Supervisor: Jurgen Kurths
• Host Institution: Instituto de Física (IF). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Research place: Humboldt University, Germany
• Associated to the scholarship: 15/07311-7 - Dynamic behaviour of neural networks, BP.PD

Abstract

The research about plastic brain is in the science's 10 hottest fields. We have been studying spike timing-dependent plasticity (STDP) and we will focus the attention on short-term plasticity (STP). STDP is given by the Hebbian theory, that describes a basic mechanism for synaptic plasticity wherein an increase in synaptic efficacy arises from the presynaptic cell's repeated and persistent stimulation of the postsynaptic cell. STP acts on a timescale of tens of milliseconds to a few minutes unlike STDP (ms) and it can either strengthen or weaken a synapse. We will study the effects of synaptic plasticity on the synchronisation of bursting activity. Temporal synchronisation of neuronal activity happens when neurons are actived at the same time, namely assemblies of neurons fire simultaneously. We will also analyse the influence of synaptic plasticity on the network topology. This project is a promising line of investigation with practical impacts (Alzheimer's diseases) in future. In this proposal, our main goal is to study the effects of STP on the spike synchronisation, topology and healthy and sick condition in the brain. We will consider an initial all-to-all network, where the neuronal network is built by connecting neurons by means of excitatory and inhibitory synapses. We will study how the transition from desynchronous to synchronous states depends on the neuronal network architecture, as well as how the network can evolve to non-trivial topology due to STP.

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)

SANTOS, V.; SZEZECH, JR., J. D.; BATISTA, A. M.; IAROSZ, K. C.; BAPTISTA, M. S.; REN, H. P.; GREBOGI, C.; VIANA, R. L.; CALDAS, I. L.; MAISTRENKO, Y. L.; et al. Riddling: Chimera's dilemma. Chaos, v. 28, n. 8, AUG 2018. (17/20920-8, 15/07311-7, 15/50122-0, 15/05186-0, 11/19296-1)

LOPEZ, ALVARO G.; IAROSZ, KELLY C.; BATISTA, ANTONIO M.; SEOANE, JESUS M.; VIANAE, RICARDO L.; SANJUAN, MIGUEL A. F.. Nonlinear cancer chemotherapy: Modelling the Norton-Simon hypothesis. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, v. 70, p. 307-317, MAY 2019. (17/20920-8, 15/07311-7)

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)

FERRARI, F. A. S.; VIANA, R. L.; REIS, A. S.; IAROSZ, K. C.; CALDAS, I. L.; BATISTA, A. M.. A network of networks model to study phase synchronization using structural connection matrix of human brain. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 496, p. 162-170, APR 15 2018. (17/20920-8, 15/07311-7, 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)