Delayed feedback makes neuronal firing statistics non-Markovian
نویسندگان
چکیده
منابع مشابه
Delayed feedback causes non-Markovian behavior of neuronal firing statistics
The instantaneous state of a neural network consists of both the degree of excitation of each neuron, the network is composed of, and positions of impulses in communication lines between neurons. In neurophysiological experiments, the neuronal firing moments are registered, but not the state of communication lines. But future spiking moments depend essentially on the past positions of impulses ...
متن کاملFiring statistics of inhibitory neuron with delayed feedback. II: Non-Markovian behavior
The instantaneous state of a neural network consists of both the degree of excitation of each neuron the network is composed of and positions of impulses in communication lines between the neurons. In neurophysiological experiments, the neuronal firing moments are registered, but not the state of communication lines. But future spiking moments depend essentially on the past positions of impulse...
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Spiking statistics of a self-inhibitory neuron is considered. The neuron receives excitatory input from a Poisson stream and inhibitory impulses through a feedback line with a delay. After triggering, the neuron is in the refractory state for a positive period of time. Recently, [35,6], it was proven for a neuron with delayed feedback and without the refractory state, that the output stream of ...
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We consider a class of spiking neuronal models, defined by a set of conditions typical for basic threshold-type models, such as the leaky integrate-and-fire or the binding neuron model and also for some artificial neurons. A neuron is fed with a Poisson process. Each output impulse is applied to the neuron itself after a finite delay ∆. This impulse acts as being delivered through a fast Cl-typ...
متن کامل- bi o . N C ] 9 S ep 2 01 3 Firing statistics of inhibitory neuron with delayed feedback . II . Non - Markovian behavior
The instantaneous state of a neural network consists of both the degree of excitation of each neuron the network is composed of and positions of impulses in communication lines between the neurons. In neurophysiological experiments, the neuronal firing moments are registered, but not the state of communication lines. But future spiking moments depend essentially on the past positions of impulse...
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ژورنال
عنوان ژورنال: Ukrainian Mathematical Journal
سال: 2013
ISSN: 0041-5995,1573-9376
DOI: 10.1007/s11253-013-0753-2