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Neuronal networks with short-term plasticity

Grant number: 22/05153-9
Support Opportunities:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): October 01, 2022
Effective date (End): May 31, 2023
Field of knowledge:Interdisciplinary Subjects
Principal Investigator:Iberê Luiz Caldas
Grantee:Paulo Ricardo Protachevicz
Supervisor: Murilo da Silva Baptista
Host Institution: Instituto de Física (IF). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Research place: University of Aberdeen, Scotland  
Associated to the scholarship:20/04624-2 - Synaptic plasticity in neuronal networks, BP.PD


The two main objectives of neuroscience are to understand the correct working of the brain and propose treatments for brain diseases. In healthy activities, short-term plasticity (STP) is associated with an important role in motor processing, attention functions, and working memory. On the other hand, abnormal synaptic dynamics can be related to neurological diseases like Alzheimer and Parkinson. Synchronized activities are also involved in both healthy and neurological disorders like epilepsy, Alzheimer and Parkinson. Thus, the proposed work has the general goal to study the influence of STP on the dynamics of the neuronal networks. Dynamics is measured in terms of spiking rate, firing pattern (spike, burst or silence), coefficient of variation, and the synaptic currents. The STP model describe the synaptic dynamics of recovered, active, and inactive neurotransmitters, from the presynaptic neurons. STP can exhibit different synaptic regimes like facilitation, depression, pseudo-linear, and biphasic. These regimes can affect neuronal activities including the capacity to synchronize. Thereby, one objective of this project is to understand how these different STP regimes are related to normal and abnormal synchronization of the neuronal network. Another objective is to analyse how external signal inputs can affect neuronal dynamics, aiming at a better understanding of the influence of STP on the capacity of neuronal networks to detect, process and encode stimuli. (AU)

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Scientific publications
(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)
SAYARI, ELAHEH; GABRICK, ENRIQUE C.; BORGES, FERNANDO S.; CRUZINIANI, FATIMA E.; PROTACHEVICZ, PAULO R.; IAROSZ, KELLY C.; SZEZECH JR, JOSE D.; BATISTA, ANTONIO M.. Analyzing bursting synchronization in structural connectivity matrix of a human brain under external pulsed currents. Chaos, v. 33, n. 3, p. 8-pg., . (22/05153-9, 22/13761-9)
GABRICK, ENRIQUE C.; SAYARI, ELAHEH; PROTACHEVICZ, PAULO R.; SZEZECH JR, JOSE D.; IAROSZ, KELLY C.; DE SOUZA, SILVIO L. T.; ALMEIDA, ALEXANDRE C. L.; VIANA, RICARDO L.; CALDAS, IBERE L.; BATISTA, ANTONIO M.. Unpredictability in seasonal infectious diseases spread. CHAOS SOLITONS & FRACTALS, v. 166, p. 8-pg., . (22/05153-9, 18/03211-6, 20/04624-2)
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., . (20/04624-2, 22/05153-9, 16/23398-8, 22/13761-9, 18/03211-6, 17/13502-5)

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