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Dynamics of the firing probability of noisy integrate-and-fire neurons.

Publication ,  Journal Article
Fourcaud, N; Brunel, N
Published in: Neural Comput
September 2002

Cortical neurons in vivo undergo a continuous bombardment due to synaptic activity, which acts as a major source of noise. Here, we investigate the effects of the noise filtering by synapses with various levels of realism on integrate-and-fire neuron dynamics. The noise input is modeled by white (for instantaneous synapses) or colored (for synapses with a finite relaxation time) noise. Analytical results for the modulation of firing probability in response to an oscillatory input current are obtained by expanding a Fokker-Planck equation for small parameters of the problem - when both the amplitude of the modulation is small compared to the background firing rate and the synaptic time constant is small compared to the membrane time constant. We report here the detailed calculations showing that if a synaptic decay time constant is included in the synaptic current model, the firing-rate modulation of the neuron due to an oscillatory input remains finite in the high-frequency limit with no phase lag. In addition, we characterize the low-frequency behavior and the behavior of the high-frequency limit for intermediate decay times. We also characterize the effects of introducing a rise time to the synaptic currents and the presence of several synaptic receptors with different kinetics. In both cases, we determine, using numerical simulations, an effective decay time constant that describes the neuronal response completely.

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Published In

Neural Comput

DOI

ISSN

0899-7667

Publication Date

September 2002

Volume

14

Issue

9

Start / End Page

2057 / 2110

Location

United States

Related Subject Headings

  • Synapses
  • Probability
  • Periodicity
  • Neurons
  • Neural Pathways
  • Models, Neurological
  • Cerebral Cortex
  • Artificial Intelligence & Image Processing
  • Artifacts
  • Animals
 

Citation

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Fourcaud, N., & Brunel, N. (2002). Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Comput, 14(9), 2057–2110. https://doi.org/10.1162/089976602320264015
Fourcaud, Nicolas, and Nicolas Brunel. “Dynamics of the firing probability of noisy integrate-and-fire neurons.Neural Comput 14, no. 9 (September 2002): 2057–2110. https://doi.org/10.1162/089976602320264015.
Fourcaud N, Brunel N. Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Comput. 2002 Sep;14(9):2057–110.
Fourcaud, Nicolas, and Nicolas Brunel. “Dynamics of the firing probability of noisy integrate-and-fire neurons.Neural Comput, vol. 14, no. 9, Sept. 2002, pp. 2057–110. Pubmed, doi:10.1162/089976602320264015.
Fourcaud N, Brunel N. Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Comput. 2002 Sep;14(9):2057–2110.
Journal cover image

Published In

Neural Comput

DOI

ISSN

0899-7667

Publication Date

September 2002

Volume

14

Issue

9

Start / End Page

2057 / 2110

Location

United States

Related Subject Headings

  • Synapses
  • Probability
  • Periodicity
  • Neurons
  • Neural Pathways
  • Models, Neurological
  • Cerebral Cortex
  • Artificial Intelligence & Image Processing
  • Artifacts
  • Animals