Zobrazeno 1 - 10
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pro vyhledávání: '"Vidybida, A. K."'
Autor:
Vidybida, Alexander K.
For a class of fast {\it Cl-}type inhibitory spiking neuron models with delayed feedback fed with a Poisson stochastic process of excitatory impulses, it is proven that the stream of output interspike intervals cannot be presented as a Markov process
Externí odkaz:
http://arxiv.org/abs/1508.04624
Autor:
Vidybida, A. K.
The leaky integrate and fire (LIF) neuron represents standard neuronal model used for numerical simulations. The leakage is implemented in the model as exponential decay of trans-membrane voltage towards its resting value. This makes inevitable the u
Externí odkaz:
http://arxiv.org/abs/1505.06603
Autor:
Vidybida, Alexander K.
Publikováno v:
J Stat Phys (2015) 160:1507-1518
For a class of excitatory spiking neuron models with delayed feedback fed with a Poisson stochastic process, it is proven that the stream of output interspike intervals cannot be presented as a Markov process of any order. Keywords: spiking neuron; P
Externí odkaz:
http://arxiv.org/abs/1503.03312
Autor:
Vidybida, A. K.
Publikováno v:
Reports of the National Academy of Science of Ukraine, 2014, 12, pp. 18-23
Probability density function of output interspike intervals is found in exact form for leaky integrate and fire neuron stimulated with Poisson stream. The diffusion approximation is not exploited.
Comment: 11 pages, 1 Figure. Language is still U
Comment: 11 pages, 1 Figure. Language is still U
Externí odkaz:
http://arxiv.org/abs/1501.04874
Autor:
Vidybida, Alexander K.
We consider a wide class of spiking neuron models, defined by rather general set of conditions typical for basic models like leaky integrate and fire, or binding neuron model. A neuron is fed with a point renewal process. A relation between the three
Externí odkaz:
http://arxiv.org/abs/1412.7958
Publikováno v:
BioSystems 112 (2013) 224-232
Activity of inhibitory neuron with delayed feedback is considered in the framework of point stochastic processes. The neuron receives excitatory input impulses from a Poisson stream, and inhibitory impulses from the feedback line with a delay. We inv
Externí odkaz:
http://arxiv.org/abs/1107.3410
Autor:
Vidybida, Alexander K.
Publikováno v:
International Journal of Neural Systems (IJNS), Volume: 21, Issue: 3 (June 2011), Page: 187-198
Information about external world is delivered to the brain in the form of structured in time spike trains. During further processing in higher areas, information is subjected to a certain condensation process, which results in formation of abstract c
Externí odkaz:
http://arxiv.org/abs/1012.0490
Autor:
Vidybida, A. K.
Based on numerical simulation of Hodgkin and Huxley type neuron stimulated from many synaptic inputs, an abstract concept of signal processing in individual neuron is proposed. In the concept proposed, neuron performs binding of synaptic inputs into
Externí odkaz:
http://arxiv.org/abs/0801.0250
Autor:
Vidybida, Alexander K.
Publikováno v:
Physics of the Alive, Volume 3, Issue 1, 1995, Pages 38-39
Recently, origins of non-deterministic behavior and free will in living systems obtain growing interest (see, e.g. Maye A, Hsieh C, Sugihara G, Brembs B (2007) Order in Spontaneous Behavior. PLoS ONE 2(5): e443. doi:10.1371/journal.pone.0000443). In
Externí odkaz:
http://arxiv.org/abs/0709.0719
Autor:
Vidybida, Alexander K.
Publikováno v:
Eur. Phys. J. B 65, 577-584 (2008); Eur. Phys. J. B 69, 313 (2009)
The binding neuron model is inspired by numerical simulation of Hodgkin-Huxley-type point neuron, as well as by the leaky integrate-and-fire model. In the binding neuron, the trace of an input is remembered for a fixed period of time after which it d
Externí odkaz:
http://arxiv.org/abs/0706.0163