Literature DB >> 20298764

Neural heterogeneities and stimulus properties affect burst coding in vivo.

O Avila-Akerberg1, R Krahe, M J Chacron.   

Abstract

Many neurons tend to fire clusters of action potentials called bursts followed by quiescence in response to sensory input. While the mechanisms that underlie burst firing are generally well understood in vitro, the functional role of these bursts in generating behavioral responses to sensory input in vivo are less clear. Pyramidal cells within the electrosensory lateral line lobe (ELL) of weakly electric fish offer an attractive model system for studying the coding properties of burst firing, because the anatomy and physiology of the electrosensory circuitry are well understood, and the burst mechanism of ELL pyramidal cells has been thoroughly characterized in vitro. We investigated the coding properties of bursts generated by these cells in vivo in response to mimics of behaviorally relevant sensory input. We found that heterogeneities within the pyramidal cell population had quantitative but not qualitative effects on burst coding for the low frequency components of broadband time varying input. Moreover, spatially localized stimuli mimicking, for example, prey tended to elicit more bursts than spatially global stimuli mimicking conspecific-related stimuli. We also found small but significant correlations between burst attributes such as the number of spikes per burst or the interspike interval during the burst and stimulus attributes such as stimulus amplitude or slope. These correlations were much weaker in magnitude than those observed in vitro. More surprisingly, our results show that correlations between burst and stimulus attributes actually decreased in magnitude when we used low frequency stimuli that are expected to promote burst firing. We propose that this discrepancy is attributable to differences between ELL pyramidal cell burst firing under in vivo and in vitro conditions. 2010 IBRO. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20298764      PMCID: PMC4529318          DOI: 10.1016/j.neuroscience.2010.03.012

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  74 in total

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Journal:  J Neurosci       Date:  2002-06-01       Impact factor: 6.167

3.  Excitatory amino acid receptors of the electrosensory system: the NR1/NR2B N-methyl-D-aspartate receptor.

Authors:  Erik Harvey-Girard; Robert J Dunn
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4.  Regulation of burst dynamics improves differential encoding of stimulus frequency by spike train segregation.

Authors:  W Hamish Mehaffey; Fernando R Fernandez; Leonard Maler; Ray W Turner
Journal:  J Neurophysiol       Date:  2007-06-20       Impact factor: 2.714

5.  SK channels provide a novel mechanism for the control of frequency tuning in electrosensory neurons.

Authors:  Lee D Ellis; W Hamish Mehaffey; Erik Harvey-Girard; Ray W Turner; Leonard Maler; Robert J Dunn
Journal:  J Neurosci       Date:  2007-08-29       Impact factor: 6.167

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7.  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

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Authors:  C A Shumway
Journal:  J Neurosci       Date:  1989-12       Impact factor: 6.167

9.  The posterior lateral line lobe of certain gymnotoid fish: quantitative light microscopy.

Authors:  L Maler
Journal:  J Comp Neurol       Date:  1979-01-15       Impact factor: 3.215

10.  Distribution of muscarinic receptors in the caudal cerebellum and electrosensory lateral line lobe of gymnotiform fish.

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Journal:  Neurosci Lett       Date:  1983-12-02       Impact factor: 3.046

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  20 in total

1.  Parallel coding of first- and second-order stimulus attributes by midbrain electrosensory neurons.

Authors:  Patrick McGillivray; Katrin Vonderschen; Eric S Fortune; Maurice J Chacron
Journal:  J Neurosci       Date:  2012-04-18       Impact factor: 6.167

2.  Neural heterogeneities influence envelope and temporal coding at the sensory periphery.

Authors:  M Savard; R Krahe; M J Chacron
Journal:  Neuroscience       Date:  2010-10-28       Impact factor: 3.590

3.  Inhibition of SK and M channel-mediated currents by 5-HT enables parallel processing by bursts and isolated spikes.

Authors:  Tara Deemyad; Leonard Maler; Maurice J Chacron
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Review 4.  Neuromodulation of early electrosensory processing in gymnotiform weakly electric fish.

Authors:  Brenda Toscano Márquez; Rüdiger Krahe; Maurice J Chacron
Journal:  J Exp Biol       Date:  2013-07-01       Impact factor: 3.312

Review 5.  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

6.  In vivo conditions influence the coding of stimulus features by bursts of action potentials.

Authors:  Oscar Avila Akerberg; Maurice J Chacron
Journal:  J Comput Neurosci       Date:  2011-01-27       Impact factor: 1.621

Review 7.  Nonrenewal spike train statistics: causes and functional consequences on neural coding.

Authors:  Oscar Avila-Akerberg; Maurice J Chacron
Journal:  Exp Brain Res       Date:  2011-01-26       Impact factor: 1.972

8.  Coding movement direction by burst firing in electrosensory neurons.

Authors:  Navid Khosravi-Hashemi; Eric S Fortune; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2011-07-20       Impact factor: 2.714

9.  Neural heterogeneities determine response characteristics to second-, but not first-order stimulus features.

Authors:  Michael G Metzen; Maurice J Chacron
Journal:  J Neurosci       Date:  2015-02-18       Impact factor: 6.167

Review 10.  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

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