Literature DB >> 5025749

The relationship between the firing rate of a single neuron and the level of activity in a population of neurons. Experimental evidence for resonant enhancement in the population response.

B W Knight.   

Abstract

A quantitative comparison is made between experiment and the theoretically predicted dynamics of a neuron population. The experiment confirms the theoretical prediction that under appropriate conditions an enlarged resonant response should appear in the activity of the neuron population, near the frequency at which there is minimum modulation in the instantaneous rate of a single neuron. These findings bear on the relationship between the firing rate of a single neuron and the firing rate of a population of neurons.

Mesh:

Year:  1972        PMID: 5025749      PMCID: PMC2203205          DOI: 10.1085/jgp.59.6.767

Source DB:  PubMed          Journal:  J Gen Physiol        ISSN: 0022-1295            Impact factor:   4.086


  5 in total

1.  Linear systems analysis of the Limulus retina.

Authors:  F A Dodge; R M Shapley; B W Knight
Journal:  Behav Sci       Date:  1970-01

2.  Variability of interspike intervals in optic nerve fibers of Limulus: effect of light and dark adaptation.

Authors:  F Ratliff; H K Hartline; D Lange
Journal:  Proc Natl Acad Sci U S A       Date:  1968-06       Impact factor: 11.205

3.  Dynamics of encoding in a population of neurons.

Authors:  B W Knight
Journal:  J Gen Physiol       Date:  1972-06       Impact factor: 4.086

4.  A quantitative description of the dynamics of excitation and inhibition in the eye of Limulus.

Authors:  B W Knight; J I Toyoda; F A Dodge
Journal:  J Gen Physiol       Date:  1970-10       Impact factor: 4.086

5.  Fluctuations of the impulse rate in Limulus eccentric cells.

Authors:  R Shapley
Journal:  J Gen Physiol       Date:  1971-05       Impact factor: 4.086

  5 in total
  44 in total

1.  Neuronal population activity and functional imaging.

Authors:  J W Scannell; M P Young
Journal:  Proc Biol Sci       Date:  1999-05-07       Impact factor: 5.349

2.  A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning.

Authors:  D Q Nykamp; D Tranchina
Journal:  J Comput Neurosci       Date:  2000 Jan-Feb       Impact factor: 1.621

3.  Fast propagation of firing rates through layered networks of noisy neurons.

Authors:  Mark C W van Rossum; Gina G Turrigiano; Sacha B Nelson
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

4.  How spike generation mechanisms determine the neuronal response to fluctuating inputs.

Authors:  Nicolas Fourcaud-Trocmé; David Hansel; Carl van Vreeswijk; Nicolas Brunel
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

5.  Oscillations in large-scale cortical networks: map-based model.

Authors:  N F Rulkov; I Timofeev; M Bazhenov
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

6.  Improved signaling as a result of randomness in synaptic vesicle release.

Authors:  Calvin Zhang; Charles S Peskin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-16       Impact factor: 11.205

7.  The possible role of spike patterns in cortical information processing.

Authors:  Paul H E Tiesinga; J Vincent Toups
Journal:  J Comput Neurosci       Date:  2005-06       Impact factor: 1.621

8.  Stochastic models of neuronal dynamics.

Authors:  L M Harrison; O David; K J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

9.  The self-inhibited leaky integrator: transfer functions and steady state relations.

Authors:  M Barbi; V Carelli; C Frediani; D Petracchi
Journal:  Biol Cybern       Date:  1975-10-01       Impact factor: 2.086

10.  The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro.

Authors:  Harold Köndgen; Caroline Geisler; Stefano Fusi; Xiao-Jing Wang; Hans-Rudolf Lüscher; Michele Giugliano
Journal:  Cereb Cortex       Date:  2008-02-09       Impact factor: 5.357

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