Zobrazeno 1 - 10
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pro vyhledávání: '"Baptista, M"'
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., 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
Akademický článek
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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
This work uses an information-based methodology to infer the connectivity of complex systems from observed time-series data. We first derive analytically an expression for the Mutual Information Rate (MIR), namely, the amount of information exchanged
Externí odkaz:
http://arxiv.org/abs/1603.05825
Publikováno v:
Phys. Rev. E 94, 012202 (2016)
Our aim is to unveil how resonances of parametric systems are affected when symmetry is broken. We showed numerically and experimentally that odd resonances indeed come about when the pendulum is excited along a tilted direction. Applying the Melniko
Externí odkaz:
http://arxiv.org/abs/1603.00819
The understanding of the relationship between topology and behaviour in interconnected networks would allow to characterise and predict behaviour in many real complex networks since both are usually not simultaneously known. Most previous studies hav
Externí odkaz:
http://arxiv.org/abs/1510.05862
We investigate the dynamical behavior of a non-ideal Duffing oscillator, a system composed of a mass-spring-pendulum driven by a DC motor with limited power supply. To identify new features on Duffing oscillator parameter space due to the limited pow
Externí odkaz:
http://arxiv.org/abs/1507.06791