Literature DB >> 26558527

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

Stephen E Clarke1, André Longtin1,2,3, Leonard Maler1,3.   

Abstract

To identify and interact with moving objects, including other members of the same species, an animal's nervous system must correctly interpret patterns of contrast in the physical signals (such as light or sound) that it receives from the environment. In weakly electric fish, the motion of objects in the environment and social interactions with other fish create complex patterns of contrast in the electric fields that they produce and detect. These contrast patterns can extend widely over space and time and represent a multitude of relevant features, as is also true for other sensory systems. Mounting evidence suggests that the computational principles underlying contrast coding in electrosensory neural networks are conserved elements of spatiotemporal processing that show strong parallels with the vertebrate visual system.

Mesh:

Year:  2015        PMID: 26558527     DOI: 10.1038/nrn4037

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  58 in total

1.  Receptive field organization determines pyramidal cell stimulus-encoding capability and spatial stimulus selectivity.

Authors:  Joseph Bastian; Maurice J Chacron; Leonard Maler
Journal:  J Neurosci       Date:  2002-06-01       Impact factor: 6.167

2.  Nonrenewal statistics of electrosensory afferent spike trains: implications for the detection of weak sensory signals.

Authors:  R Ratnam; M E Nelson
Journal:  J Neurosci       Date:  2000-09-01       Impact factor: 6.167

3.  Cortical processing of second-order motion.

Authors:  I Mareschal; C L Baker
Journal:  Vis Neurosci       Date:  1999 May-Jun       Impact factor: 3.241

Review 4.  Cellular and circuit properties supporting different sensory coding strategies in electric fish and other systems.

Authors:  Gary Marsat; André Longtin; Leonard Maler
Journal:  Curr Opin Neurobiol       Date:  2012-02-10       Impact factor: 6.627

5.  Spike-frequency adaptation separates transient communication signals from background oscillations.

Authors:  Jan Benda; André Longtin; Len Maler
Journal:  J Neurosci       Date:  2005-03-02       Impact factor: 6.167

6.  Receptive field organization across multiple electrosensory maps. I. Columnar organization and estimation of receptive field size.

Authors:  Leonard Maler
Journal:  J Comp Neurol       Date:  2009-10-10       Impact factor: 3.215

Review 7.  Efficient computation via sparse coding in electrosensory neural networks.

Authors:  Maurice J Chacron; André Longtin; Leonard Maler
Journal:  Curr Opin Neurobiol       Date:  2011-06-16       Impact factor: 6.627

8.  Commissural neurons of the electrosensory lateral line lobe of Apteronotus leptorhynchus: morphological and physiological characteristics.

Authors:  J Bastian; J Courtright; J Crawford
Journal:  J Comp Physiol A       Date:  1993-09       Impact factor: 1.836

9.  Coding conspecific identity and motion in the electric sense.

Authors:  Na Yu; Ginette Hupé; Charles Garfinkle; John E Lewis; André Longtin
Journal:  PLoS Comput Biol       Date:  2012-07-12       Impact factor: 4.475

10.  Spatial acuity and prey detection in weakly electric fish.

Authors:  David Babineau; John E Lewis; André Longtin
Journal:  PLoS Comput Biol       Date:  2007-03-02       Impact factor: 4.475

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  27 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

2.  Efficient and adaptive sensory codes.

Authors:  Wiktor F Młynarski; Ann M Hermundstad
Journal:  Nat Neurosci       Date:  2021-05-20       Impact factor: 24.884

3.  Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.

Authors:  Brian E Kalmbach; Richard Gray; Daniel Johnston; Erik P Cook
Journal:  J Neurophysiol       Date:  2017-03-01       Impact factor: 2.714

Review 4.  SK channel subtypes enable parallel optimized coding of behaviorally relevant stimulus attributes: A review.

Authors:  Chengjie G Huang; Maurice J Chacron
Journal:  Channels (Austin)       Date:  2017-03-01       Impact factor: 2.581

5.  Targeting alpha-band oscillations in a cortical model with amplitude-modulated high-frequency transcranial electric stimulation.

Authors:  Ehsan Negahbani; Florian H Kasten; Christoph S Herrmann; Flavio Fröhlich
Journal:  Neuroimage       Date:  2018-02-07       Impact factor: 6.556

6.  A Mechanosensory Circuit that Mixes Opponent Channels to Produce Selectivity for Complex Stimulus Features.

Authors:  Allison E B Chang; Alex G Vaughan; Rachel I Wilson
Journal:  Neuron       Date:  2016-10-27       Impact factor: 17.173

7.  Electrosensory processing in Apteronotus albifrons: implications for general and specific neural coding strategies across wave-type weakly electric fish species.

Authors:  Diana Martinez; Michael G Metzen; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

8.  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

Review 9.  Drosophila sensory receptors-a set of molecular Swiss Army Knives.

Authors:  Craig Montell
Journal:  Genetics       Date:  2021-03-03       Impact factor: 4.562

10.  Neural correlations enable invariant coding and perception of natural stimuli in weakly electric fish.

Authors:  Michael G Metzen; Volker Hofmann; Maurice J Chacron
Journal:  Elife       Date:  2016-04-29       Impact factor: 8.140

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