Literature DB >> 5025748

Dynamics of encoding in a population of neurons.

B W Knight.   

Abstract

A simple encoder model, which is a reasonable idealization from known electrophysiological properties, yields a population in which the variation of the firing rate with time is a perfect replica of the shape of the input stimulus. A population of noise-free encoders which depart even slightly from the simple model yield a very much degraded copy of the input stimulus. The presence of noise improves the performance of such a population. The firing rate of a population of neurons is related to the firing rate of a single member in a subtle way.

Mesh:

Year:  1972        PMID: 5025748      PMCID: PMC2203203          DOI: 10.1085/jgp.59.6.734

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


  17 in total

1.  Responses of neurons in the dorsal nucleus of the lateral lemniscus of cat to binaural tonal stimulation.

Authors:  J F Brugge; D J Anderson; L M Aitkin
Journal:  J Neurophysiol       Date:  1970-05       Impact factor: 2.714

2.  The sensitivity of muscle spindle afferents to small sinusoidal changes of length.

Authors:  P B Matthews; R B Stein
Journal:  J Physiol       Date:  1969-02       Impact factor: 5.182

3.  Some possible neural correlates of combination tones.

Authors:  J E Rose; J F Brugge; D J Anderson; J E Hind
Journal:  J Neurophysiol       Date:  1969-05       Impact factor: 2.714

4.  Quantitative description of linear behavior of mammalian muscle spindles.

Authors:  R E Poppele; R J Bowman
Journal:  J Neurophysiol       Date:  1970-01       Impact factor: 2.714

5.  The sense of flutter-vibration: comparison of the human capacity with response patterns of mechanoreceptive afferents from the monkey hand.

Authors:  W H Talbot; I Darian-Smith; H H Kornhuber; V B Mountcastle
Journal:  J Neurophysiol       Date:  1968-03       Impact factor: 2.714

6.  Cortical neuronal mechanisms in flutter-vibration studied in unanesthetized monkeys. Neuronal periodicity and frequency discrimination.

Authors:  V B Mountcastle; W H Talbot; H Sakata; J Hyvärinen
Journal:  J Neurophysiol       Date:  1969-05       Impact factor: 2.714

7.  Time structure of discharges in single auditory nerve fibers of the squirrel monkey in response to complex periodic sounds.

Authors:  J F Brugge; D J Anderson; J E Hind; J E Rose
Journal:  J Neurophysiol       Date:  1969-05       Impact factor: 2.714

8.  Tonotopic organization and discharge characteristics of single neurons in nuclei of the lateral lemniscus of the cat.

Authors:  L M Aitkin; D J Anderson; J F Brugge
Journal:  J Neurophysiol       Date:  1970-05       Impact factor: 2.714

9.  Response of binaural neurons of dog superior olivary complex to dichotic tonal stimuli: some physiological mechanisms of sound localization.

Authors:  J M Goldberg; P B Brown
Journal:  J Neurophysiol       Date:  1969-07       Impact factor: 2.714

10.  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

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  177 in total

1.  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

2.  Noise in neurons is message dependent.

Authors:  G A Cecchi; M Sigman; J M Alonso; L Martínez; D R Chialvo; M O Magnasco
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

3.  On the simulation of large populations of neurons.

Authors:  A Omurtag; B W Knight; L Sirovich
Journal:  J Comput Neurosci       Date:  2000 Jan-Feb       Impact factor: 1.621

4.  Impact of correlated synaptic input on output firing rate and variability in simple neuronal models.

Authors:  E Salinas; T J Sejnowski
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

5.  Oscillations and irregular emission in networks of linear spiking neurons.

Authors:  G Mongillo; D J Amit
Journal:  J Comput Neurosci       Date:  2001 Nov-Dec       Impact factor: 1.621

6.  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

7.  Intrinsic firing dynamics of vestibular nucleus neurons.

Authors:  Chris Sekirnjak; Sascha du Lac
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

8.  Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron.

Authors:  Y H Liu; X J Wang
Journal:  J Comput Neurosci       Date:  2001 Jan-Feb       Impact factor: 1.621

9.  Small-signal analysis of the encoder mechanism in the lobster stretch receptor and the frog and cat muscle spindle.

Authors:  R A Chaplain
Journal:  Biol Cybern       Date:  1975-08-08       Impact factor: 2.086

10.  Dynamics of one-dimensional spiking neuron models.

Authors:  Romain Brette
Journal:  J Math Biol       Date:  2003-08-06       Impact factor: 2.259

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