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212 372 (0,251s)

Result

Approximate information capacity of the perfect integrate-and-fire neuron using the temporal code

We approximately calculate the information capacity of the perfect integrate-and-fire neuronal model in dependence on the stimulus range, assuming the simplest form of temporal coding scheme. We couple the informat...

FH - Neurologie, neurochirurgie, neurovědy

  • 2012
  • Jx
  • Link
Result

Neuronal jitter. can we measure the spike timing dispersion ?

We propose a novel measure of statistical dispersion of a positive continuous random variable: the entropy-based dispersion (ED).

FH - Neurologie, neurochirurgie, neurovědy

  • 2010
  • Jx
Result

Input-output consistency in integrate and fire interconnected neurons

neurons with stochastic perfect integrate and fire units. In particular, we showInterspike intervals describe the output of neurons. Signal transmission in a neuronal network implies that the output of so...

Applied mathematics

  • 2023
  • Jimp
  • Link
Result

Neuronal Jitter: Can We Measure the Spike Timing Dispersion Differently?

of neuronal spiking activity of the perfect integrate-and-fire model, which is a plausible neural model under the assumption of high input synaptic activity. We show that SD and ED may give strikingly dif...

IN - Informatika

  • 2010
  • Jx
Result

The parameters of the stochastic leaky integrate-and-fire neuronal model

Five parameters of one of the most common neuronal models, the diffusion leaky integrate-and-fire model, were estimated on the basis of intracellular recording......

BO - Biofyzika

  • 2006
  • Jx
Result

Different types of noise in leaky integrate-and-fire model of neuronal dynamics with discrete periodical input

Effect of different types of noise in neuronal model is investigated for discrete periodical input...

ED - Fyziologie

  • 2004
  • Jx
Result

Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal

A method for estimating the parameters of diffusion neuronal model is proposed. The method is suitable in case of slowly fluctuating signal......

BO - Biofyzika

  • 2008
  • Jx
Result

Parameters of stochastic diffusion processes estimated from observations of first-hitting times: Application to the leaky integrate-and-fire neuronal model

Method for estimation of parameters of diffusion stochastic process is introduced. It is tested on a neuronal model...

BO - Biofyzika

  • 2007
  • Jx
Result

The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model

suggest a number of mathematical models of neurons. These models range from entirely descriptive ones to those deduced from the properties of the real neurons. One of them, the diffusion leaky integrate-a...

BD - Teorie informace

  • 2016
  • Jx
  • Link
Result

A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models

Methods for estimating the parameters of diffusion neuronal models are reviewed. These methods are suitable for interspike interval data as well as for membrane potential fluctuation data......

BO - Biofyzika

  • 2008
  • Jx
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