Noisy spiking neurons and networks: useful approximations for firing probabilities and global behavior. (Q52227554)

27 April 2018

title

Noisy spiking neurons and networks: useful approximations for firing probabilities and global behavior. (English)

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27 April 2018

author name string

R Rodriguez

series ordinal

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27 April 2018

H C Tuckwell

series ordinal

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27 April 2018

publication date

1 September 1998

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27 April 2018

published in

BioSystems

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27 April 2018

volume

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27 April 2018

issue

1-3

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27 April 2018

page(s)

187-194

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27 April 2018

Detecting spatiotemporal firing patterns among simultaneously recorded single neurons.

cites work

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Spike initiation by transmembrane current: a white-noise analysis

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Squid axon membrane response to white noise stimulation

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Synchrony in excitatory neural networks

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A quantitative description of membrane current and its application to conduction and excitation in nerve

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Rapid local synchronization of action potentials: toward computation with coupled integrate-and-fire neurons

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Theory of threshold fluctuations in nerves. I. Relationships between electrical noise and fluctuations in axon firing

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The significance of precisely replicating patterns in mammalian CNS spike trains

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Reliability of spike timing in neocortical neurons

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Statistical properties of stochastic nonlinear dynamical models of single spiking neurons and neural networks

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Stochastic model neuron without resetting of dendritic potential: application to the olfactory system.

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The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs

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Analytical and simulation results for stochastic Fitzhugh-Nagumo neurons and neural networks.

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Identifiers

DOI

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27 April 2018

release_lhu4fnt44fbaxgz3yksamq5w4m

Fatcat ID

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Fatcat

https://api.fatcat.wiki/v0/release/lhu4fnt44fbaxgz3yksamq5w4m

24 November 2022

mapped directly with Wikidata item

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27 April 2018