Literature DB >> 20071632

Temporal coding by populations of auditory receptor neurons.

Patrick Sabourin1, Gerald S Pollack.   

Abstract

Auditory receptor neurons of crickets are most sensitive to either low or high sound frequencies. Earlier work showed that the temporal coding properties of first-order auditory interneurons are matched to the temporal characteristics of natural low- and high-frequency stimuli (cricket songs and bat echolocation calls, respectively). We studied the temporal coding properties of receptor neurons and used modeling to investigate how activity within populations of low- and high-frequency receptors might contribute to the coding properties of interneurons. We confirm earlier findings that individual low-frequency-tuned receptors code stimulus temporal pattern poorly, but show that coding performance of a receptor population increases markedly with population size, due in part to low redundancy among the spike trains of different receptors. By contrast, individual high-frequency-tuned receptors code a stimulus temporal pattern fairly well and, because their spike trains are redundant, there is only a slight increase in coding performance with population size. The coding properties of low- and high-frequency receptor populations resemble those of interneurons in response to low- and high-frequency stimuli, suggesting that coding at the interneuron level is partly determined by the nature and organization of afferent input. Consistent with this, the sound-frequency-specific coding properties of an interneuron, previously demonstrated by analyzing its spike train, are also apparent in the subthreshold fluctuations in membrane potential that are generated by synaptic input from receptor neurons.

Mesh:

Year:  2010        PMID: 20071632     DOI: 10.1152/jn.00621.2009

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  5 in total

1.  Firing-rate resonances in the peripheral auditory system of the cricket, Gryllus bimaculatus.

Authors:  Florian Rau; Jan Clemens; Victor Naumov; R Matthias Hennig; Susanne Schreiber
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-08-21       Impact factor: 1.836

2.  Adaptive coding for dynamic sensory inference.

Authors:  Wiktor F Młynarski; Ann M Hermundstad
Journal:  Elife       Date:  2018-07-10       Impact factor: 8.140

3.  Calcium-dependent control of temporal processing in an auditory interneuron: a computational analysis.

Authors:  Abhilash Ponnath; Hamilton E Farris
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-06-18       Impact factor: 1.836

4.  Selective phonotaxis to high sound-pulse rate in the cricket Gryllus assimilis.

Authors:  Gerald S Pollack; Jin Sung Kim
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-01-16       Impact factor: 1.836

5.  Bursting neurons and ultrasound avoidance in crickets.

Authors:  Gary Marsat; Gerald S Pollack
Journal:  Front Neurosci       Date:  2012-07-02       Impact factor: 4.677

  5 in total

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