Literature DB >> 10210667

Encoding and processing of sensory information in neuronal spike trains

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Abstract

Recently, a statistical signal-processing technique has allowed the information carried by single spike trains of sensory neurons on time-varying stimuli to be characterized quantitatively in a variety of preparations. In weakly electric fish, its application to first-order sensory neurons encoding electric field amplitude (P-receptor afferents) showed that they convey accurate information on temporal modulations in a behaviorally relevant frequency range (<80 Hz). At the next stage of the electrosensory pathway (the electrosensory lateral line lobe, ELL), the information sampled by first-order neurons is used to extract upstrokes and downstrokes in the amplitude modulation waveform. By using signal-detection techniques, we determined that these temporal features are explicitly represented by short spike bursts of second-order neurons (ELL pyramidal cells). Our results suggest that the biophysical mechanism underlying this computation is of dendritic origin. We also investigated the accuracy with which upstrokes and downstrokes are encoded across two of the three somatotopic body maps of the ELL (centromedial and lateral). Pyramidal cells of the centromedial map, in particular I-cells, encode up- and downstrokes more reliably than those of the lateral map. This result correlates well with the significance of these temporal features for a particular behavior (the jamming avoidance response) as assessed by lesion experiments of the centromedial map.

Entities:  

Year:  1999        PMID: 10210667     DOI: 10.1242/jeb.202.10.1267

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  15 in total

1.  Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli.

Authors:  M J Chacron; A Longtin; L Maler
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

2.  Ghostbursting: a novel neuronal burst mechanism.

Authors:  Brent Doiron; Carlo Laing; André Longtin; Leonard Maler
Journal:  J Comput Neurosci       Date:  2002 Jan-Feb       Impact factor: 1.621

3.  Stimulus encoding and feature extraction by multiple sensory neurons.

Authors:  Rüdiger Krahe; Gabriel Kreiman; Fabrizio Gabbiani; Christof Koch; Walter Metzner
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

4.  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

5.  Bursting neurons signal input slope.

Authors:  Adam Kepecs; Xiao-Jing Wang; John Lisman
Journal:  J Neurosci       Date:  2002-10-15       Impact factor: 6.167

6.  Sensory coding in oscillatory electroreceptors of paddlefish.

Authors:  Alexander B Neiman; David F Russell
Journal:  Chaos       Date:  2011-12       Impact factor: 3.642

7.  Modeling signal and background components of electrosensory scenes.

Authors:  Ling Chen; Jonathan L House; Rüdiger Krahe; Mark E Nelson
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-12-17       Impact factor: 1.836

Review 8.  Encoding and processing biologically relevant temporal information in electrosensory systems.

Authors:  E S Fortune; G J Rose; M Kawasaki
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-02-01       Impact factor: 1.836

9.  From stimulus estimation to combination sensitivity: encoding and processing of amplitude and timing information in parallel, convergent sensory pathways.

Authors:  Bruce A Carlson; Masashi Kawasaki
Journal:  J Comput Neurosci       Date:  2008-01-05       Impact factor: 1.621

Review 10.  Phantoms in the brain: ambiguous representations of stimulus amplitude and timing in weakly electric fish.

Authors:  Bruce A Carlson
Journal:  J Physiol Paris       Date:  2008-11-01
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