Literature DB >> 24741048

A neural code for looming and receding motion is distributed over a population of electrosensory ON and OFF contrast cells.

Stephen E Clarke1, André Longtin, Leonard Maler.   

Abstract

Object saliency is based on the relative local-to-background contrast in the physical signals that underlie perceptual experience. As such, contrast-detecting neurons (ON/OFF cells) are found in many sensory systems, responding respectively to increased or decreased intensity within their receptive field centers. This differential sensitivity suggests that ON and OFF cells initiate segregated streams of information for positive and negative sensory contrast. However, while recording in vivo from the ON and OFF cells of Apteronotus leptorhynchus, we report that the reversal of stimulus motion triggers paradoxical responses to electrosensory contrast. By considering the instantaneous firing rates of both ON and OFF cell populations, a bidirectionally symmetric representation of motion is achieved for both positive and negative contrast stimuli. Whereas the firing rates of the individual contrast detecting neurons convey scalar information, such as object distance, it is their sequential activation over longer timescales that track changes in the direction of movement.

Entities:  

Keywords:  ON/OFF cells; distributed coding; electrosense; labeled lines; looming; spike-frequency adaptation

Mesh:

Year:  2014        PMID: 24741048      PMCID: PMC6608223          DOI: 10.1523/JNEUROSCI.4988-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  14 in total

1.  Balanced ionotropic receptor dynamics support signal estimation via voltage-dependent membrane noise.

Authors:  Curtis M Marcoux; Stephen E Clarke; William H Nesse; Andre Longtin; Leonard Maler
Journal:  J Neurophysiol       Date:  2015-11-11       Impact factor: 2.714

Review 2.  Contrast coding in the electrosensory system: parallels with visual computation.

Authors:  Stephen E Clarke; André Longtin; Leonard Maler
Journal:  Nat Rev Neurosci       Date:  2015-11-12       Impact factor: 34.870

3.  Pathway-Specific Asymmetries between ON and OFF Visual Signals.

Authors:  Sneha Ravi; Daniel Ahn; Martin Greschner; E J Chichilnisky; Greg D Field
Journal:  J Neurosci       Date:  2018-09-24       Impact factor: 6.167

4.  M current regulates firing mode and spike reliability in a collision-detecting neuron.

Authors:  Richard B Dewell; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2018-07-25       Impact factor: 2.714

5.  Tuning movement for sensing in an uncertain world.

Authors:  Chen Chen; Todd D Murphey; Malcolm A MacIver
Journal:  Elife       Date:  2020-09-22       Impact factor: 8.140

6.  Distinct neuron phenotypes may serve object feature sensing in the electrosensory lobe of Gymnotus omarorum.

Authors:  Javier Nogueira; María E Castelló; Carolina Lescano; Ángel A Caputi
Journal:  J Exp Biol       Date:  2021-05-04       Impact factor: 3.312

7.  The central nervous system transcriptome of the weakly electric brown ghost knifefish (Apteronotus leptorhynchus): de novo assembly, annotation, and proteomics validation.

Authors:  Joseph P Salisbury; Ruxandra F Sîrbulescu; Benjamin M Moran; Jared R Auclair; Günther K H Zupanc; Jeffrey N Agar
Journal:  BMC Genomics       Date:  2015-03-11       Impact factor: 3.969

8.  Adaptation to second order stimulus features by electrosensory neurons causes ambiguity.

Authors:  Zhubo D Zhang; Maurice J Chacron
Journal:  Sci Rep       Date:  2016-06-28       Impact factor: 4.379

9.  The neural dynamics of sensory focus.

Authors:  Stephen E Clarke; André Longtin; Leonard Maler
Journal:  Nat Commun       Date:  2015-11-09       Impact factor: 14.919

10.  Electrosensory neural responses to natural electro-communication stimuli are distributed along a continuum.

Authors:  Michael K J Sproule; Maurice J Chacron
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

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