Spiral wave dynamics in a neuronal network model

Autor: Diogo L M Souza, Fernando S Borges, Enrique C Gabrick, Lucas E Bentivoglio, Paulo R Protachevicz, Vagner dos Santos, Ricardo L Viana, Ibere L Caldas, Kelly C Iarosz, Antonio M Batista, Jürgen Kurths

Publikováno v: Journal of Physics: Complexity, Vol 5, Iss 2, p 025010 (2024)

Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been identified in the neocortex of turtles, rats, and humans, particularly du

Externí odkaz: https://doaj.org/article/902f67d01fa3459fb8b99761917a8197

The Roles of Potassium and Calcium Currents in the Bistable Firing Transition

Autor: Fernando S. Borges, Paulo R. Protachevicz, Diogo L. M. Souza, Conrado F. Bittencourt, Enrique C. Gabrick, Lucas E. Bentivoglio, José D. Szezech, Antonio M. Batista, Iberê L. Caldas, Salvador Dura-Bernal, Rodrigo F. O. Pena

Publikováno v: Brain Sciences, Vol 13, Iss 9, p 1347 (2023)

Healthy brains display a wide range of firing patterns, from synchronized oscillations during slow-wave sleep to desynchronized firing during movement. These physiological activities coexist with periods of pathological hyperactivity in the epileptic

Externí odkaz: https://doaj.org/article/65f637f77b404c35835fe243fa9af73f

Influence of Delayed Conductance on Neuronal Synchronization

Autor: Paulo R. Protachevicz, Fernando S. Borges, Kelly C. Iarosz, Murilo S. Baptista, Ewandson L. Lameu, Matheus Hansen, Iberê L. Caldas, José D. Szezech, Antonio M. Batista, Jürgen Kurths

Publikováno v: Frontiers in Physiology, Vol 11 (2020)

In the brain, the excitation-inhibition balance prevents abnormal synchronous behavior. However, known synaptic conductance intensity can be insufficient to account for the undesired synchronization. Due to this fact, we consider time delay in excita

Externí odkaz: https://doaj.org/article/9967d197949449fa8773900e1efd0d05

Bistable Firing Pattern in a Neural Network Model

Autor: Paulo R. Protachevicz, Fernando S. Borges, Ewandson L. Lameu, Peng Ji, Kelly C. Iarosz, Alexandre H. Kihara, Ibere L. Caldas, Jose D. Szezech, Murilo S. Baptista, Elbert E. N. Macau, Chris G. Antonopoulos, Antonio M. Batista, Jürgen Kurths

Publikováno v: Frontiers in Computational Neuroscience, Vol 13 (2019)

Excessively high, neural synchronization has been associated with epileptic seizures, one of the most common brain diseases worldwide. A better understanding of neural synchronization mechanisms can thus help control or even treat epilepsy. In this p

Externí odkaz: https://doaj.org/article/7010d9f3661d4dfa89a2810497e400df

Modeling and characterizing stochastic neurons based on in vitro voltage-dependent spike probability functions

Autor: Guilherme Shigueto Vilar Higa, Roberto De Pasquale, Vinicius Lima, Rodrigo F. O. Pena, Nilton L. Kamiji, Antonio C. Roque, Fernando S. Borges, Renan O. Shimoura, Cesar C. Ceballos

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
The European Physical Journal. Special Topics
The European Physical Journal. Special Topics, EDP Sciences, 2021, 230 (14-15), pp.2963-2972. ⟨10.1140/epjs/s11734-021-00160-7⟩

Neurons in the nervous system are submitted to distinct sources of noise, such as ionic-channel and synaptic noise, which introduces variability in their responses to repeated presentations of identical stimuli. This motivates the use of stochastic m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67763b24abe4d36394307e158885305
http://arxiv.org/abs/2106.03610