Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Borges, F S"'
Autor:
Protachevicz, P. R., Borges, F. S., Batista, A. M., Baptista, M. S., Caldas, I. L., Macau, E. E. N., Lameu, E. L.
The brain is formed by cortical regions that are associated with different cognitive functions. Neurons within the same region are more likely to connect than neurons in distinct regions, making the brain network to have characteristics of a network
Externí odkaz:
http://arxiv.org/abs/2211.05644
Autor:
Borges, F S, Protachevicz, P R, Santos, V, Santos, M S, Gabrick, E C, Iarosz, K C, Lameu, E L, Baptista, M S, Caldas, I L, Batista, A M
In this work, we study the dynamic range of a neuronal network of excitable neurons with excitatory and inhibitory synapses. We obtain an analytical expression for the critical point as a function of the excitatory and inhibitory synaptic intensities
Externí odkaz:
http://arxiv.org/abs/2008.09287
Autor:
Protachevicz, P R, Santos, M S, Seifert, E G, Gabrick, E C, Borges, F S, Borges, R R, Trobia, J, Szezech Jr, J D, Iarosz, K C, Caldas, I L, Antonopoulos, C G, Xu, Y, Viana, R L, Batista, A M
Noise appears in the brain due to various sources, such as ionic channel fluctuations and synaptic events. They affect the activities of the brain and influence neuron action potentials. Stochastic differential equations have been used to model firin
Externí odkaz:
http://arxiv.org/abs/2005.14597
Autor:
Protachevicz, P. R., Borges, F. S., Lameu, E. L., Ji, P., Iarosz, K. C., Kihara, A. H., Caldas, I. L., Szezech Jr., J. D., Baptista, M. S., Macau, E. E. N., Antonopoulos, C. G., Batista, A. M., Kurths, J.
Publikováno v:
Frontiers in Computational Neuroscience - 2019
Excessively high, neural synchronisation has been associated with epileptic seizures, one of the most common brain diseases worldwide. A better understanding of neural synchronisation mechanisms can thus help control or even treat epilepsy. In this p
Externí odkaz:
http://arxiv.org/abs/1810.10142
Autor:
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.
Brain plasticity refers to brain's ability to change neuronal connections, as a result of environmental stimuli, new experiences, or damage. In this work, we study the effects of the synaptic delay on both the coupling strengths and synchronisation i
Externí odkaz:
http://arxiv.org/abs/1710.10153
Autor:
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.
Publikováno v:
Phys. Rev. E 97, 022303 (2018)
The characterisation of neuronal connectivity is one of the most important matters in neuroscience. In this work, we show that a recently proposed informational quantity, the causal mutual information, employed with an appropriate methodology, can be
Externí odkaz:
http://arxiv.org/abs/1709.10138
Autor:
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.
In this work, we study the dynamic range in a neuronal network modelled by cellular automaton. We consider deterministic and non-deterministic rules to simulate electrical and chemical synapses. Chemical synapses have an intrinsic time-delay and are
Externí odkaz:
http://arxiv.org/abs/1709.02719
Autor:
Santos, M. S., Szezech Jr., J. D., Borges, F. S., Iarosz, K. C., Caldas, I. L., Batista, A. M., Viana, R. L., Kurths, J.
Neuronal systems have been modeled by complex networks in different description levels. Recently, it has been verified that networks can simultaneously exhibit one coherent and other incoherent domain, known as chimera states. In this work, we study
Externí odkaz:
http://arxiv.org/abs/1609.01534
Autor:
Borges, R. R., Borges, F. S., Batista, A. M., Lameu, E. L., Viana, R. L., Iarosz, K. C., Caldas, I. L., Sanjuán, M. A. F.
In this paper, we study the effects of spike timing-dependent plasticity on synchronisation in a network of Hodgkin-Huxley neurons. Neuron plasticity is a flexible property of a neuron and its network to change temporarily or permanently their bioche
Externí odkaz:
http://arxiv.org/abs/1503.02213
We study the dynamic range of a cellular automaton model for a neuronal network with electrical and chemical synapses. The neural network is separated into two layers, where one layer corresponds to inhibitory, and the other corresponds to excitatory
Externí odkaz:
http://arxiv.org/abs/1412.1369