Search Results - "Iarosz, K. C"

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  1. 1

    Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron by Protachevicz, P. R., Bonin, C. A., Iarosz, K. C., Caldas, I. L., Batista, A. M.

    Published in Cognitive neurodynamics (01-12-2022)
    “…Neuronal spike variability is a statistical property associated with the noise environment. Considering a linearised Hodgkin–Huxley model, we investigate how…”
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  2. 2

    Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model by Borges, F.S., Protachevicz, P.R., Lameu, E.L., Bonetti, R.C., Iarosz, K.C., Caldas, I.L., Baptista, M.S., Batista, A.M.

    Published in Neural networks (01-06-2017)
    “…We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous…”
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  3. 3

    Spike timing-dependent plasticity induces non-trivial topology in the brain by Borges, R.R., Borges, F.S., Lameu, E.L., Batista, A.M., Iarosz, K.C., Caldas, I.L., Antonopoulos, C.G., Baptista, M.S.

    Published in Neural networks (01-04-2017)
    “…We study the capacity of Hodgkin–Huxley neuron in a network to change temporarily or permanently their connections and behavior, the so called spike…”
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  4. 4

    Alterations in brain connectivity due to plasticity and synaptic delay by 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…”
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  5. 5

    Model for tumour growth with treatment by continuous and pulsed chemotherapy by Borges, F.S., Iarosz, K.C., Ren, H.P., Batista, A.M., Baptista, M.S., Viana, R.L., Lopes, S.R., Grebogi, C.

    Published in BioSystems (01-02-2014)
    “…In this work we investigate a mathematical model describing tumour growth under a treatment by chemotherapy that incorporates time-delay related to the…”
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  6. 6

    Lyapunov spectrum of chaotic maps with a long-range coupling mediated by a diffusing substance by Viana, R. L., Batista, A. M., Batista, C. A. S., Iarosz, K. C.

    Published in Nonlinear dynamics (01-02-2017)
    “…We investigate analytically and numerically coupled lattices of chaotic maps where the interaction is non-local, i.e., each site is coupled to all the other…”
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  7. 7

    Dynamic range in a neuron network with electrical and chemical synapses by Viana, R.L., Borges, F.S., Iarosz, K.C., Batista, A.M., Lopes, S.R., Caldas, I.L.

    “…•The dynamic range is a collective effect of the neural network structure.•Neural networks can contain electrical and chemical synapses.•We studied the dynamic…”
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  8. 8

    The influence of connectivity on the firing rate in a neuronal network with electrical and chemical synapses by Iarosz, K.C., Batista, A.M., Viana, R.L., Lopes, S.R., Caldas, I.L., Penna, T.J.P.

    Published in Physica A (01-02-2012)
    “…We study the firing rate properties of a cellular automaton model for a neuronal network with chemical synapses. We propose a simple mechanism in which the…”
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  9. 9

    Self-organized criticality in MHD driven plasma edge turbulence by dos Santos Lima, G.Z., Iarosz, K.C., Batista, A.M., Caldas, I.L., Guimarães-Filho, Z.O., Viana, R.L., Lopes, S.R., Nascimento, I.C., Kuznetsov, Yu.K.

    Published in Physics letters. A (16-01-2012)
    “…We analyze long-range time correlations and self-similar characteristics of the electrostatic turbulence at the plasma edge and scrape-off layer in the Tokamak…”
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  10. 10

    Chimera-like states in a neuronal network model of the cat brain by Santos, M.S., Szezech, J.D., Borges, F.S., Iarosz, K.C., Caldas, I.L., Batista, A.M., Viana, R.L., Kurths, J.

    Published in Chaos, solitons and fractals (01-08-2017)
    “…Neuronal systems have been modelled by complex networks in different description levels. Recently, it has been verified that the networks can simultaneously…”
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  11. 11

    The role of the fitness model in the suppression of neuronal synchronous behavior with three-stage switching control in clustered networks by Reis, A.S., Brugnago, E.L., Viana, R.L., Batista, A.M., Iarosz, K.C., Ferrari, F.A.S., Caldas, I.L.

    Published in Chaos, solitons and fractals (01-02-2023)
    “…In this work, we investigate the synchronization of neuronal activity through a model of a clustered network formed by scale-free subnetworks. These simulate…”
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  12. 12

    A network of networks model to study phase synchronization using structural connection matrix of human brain by Ferrari, F.A.S., Viana, R.L., Reis, A.S., Iarosz, K.C., Caldas, I.L., Batista, A.M.

    Published in Physica A (15-04-2018)
    “…The cerebral cortex plays a key role in complex cortical functions. It can be divided into areas according to their function (motor, sensory and association…”
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  13. 13

    Self-sustained activity of low firing rate in balanced networks by Borges, F.S., Protachevicz, P.R., Pena, R.F.O., Lameu, E.L., Higa, G.S.V., Kihara, A.H., Matias, F.S., Antonopoulos, C.G., de Pasquale, R., Roque, A.C., Iarosz, K.C., Ji, P., Batista, A.M.

    Published in Physica A (01-01-2020)
    “…Self-sustained activity in the brain is observed in the absence of external stimuli and contributes to signal propagation, neural coding, and dynamic…”
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  14. 14

    Effects of the spike timing-dependent plasticity on the synchronisation in a random Hodgkin–Huxley neuronal network by Borges, R.R., Borges, F.S., Lameu, E.L., Batista, A.M., Iarosz, K.C., Caldas, I.L., Viana, R.L., Sanjuán, M.A.F.

    “…•We have studied the effects of spike timing-dependent plasticity on synchronisation.•We have chosen, as local dynamics, the Hodgkin–Huxley model.•The…”
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  15. 15

    Alterations in brain connectivity due to plasticity and synaptic delay by 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

    Published 27-10-2017
    “…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…”
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  16. 16

    Inference of topology and the nature of synapses, and the flow of information in neuronal networks by 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

    Published 28-09-2017
    “…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…”
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  17. 17

    How synapses can enhance sensibility of a neural network by 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

    Published 08-09-2017
    “…In this work, we study the dynamic range in a neuronal network modelled by cellular automaton. We consider deterministic and non-deterministic rules to…”
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  18. 18

    Chimera in a neuronal network model of the cat brain by Santos, M. S, SzezechJr, J. D, Borges, F. S, Iarosz, K. C, Caldas, I. L, Batista, A. M, Viana, R. L, Kurths, J

    Published 02-02-2017
    “…Neuronal systems have been modeled by complex networks in different description levels. Recently, it has been verified that networks can simultaneously exhibit…”
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  19. 19

    Complementary action of chemical and electrical synapses to perception by Borges, F.S., Lameu, E.L., Batista, A.M., Iarosz, K.C., Baptista, M.S., Viana, R.L.

    Published in Physica A (15-07-2015)
    “…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…”
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  20. 20

    Complementary action of chemical and electrical synapses to perception by Borges, F. S, Lameu, E. L, Batista, A. M, Iarosz, K. C, Baptista, M. S, Viana, R. L

    Published 03-12-2014
    “…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…”
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    Journal Article