Literature DB >> 9373958

Characterization and modeling of P-type electrosensory afferent responses to amplitude modulations in a wave-type electric fish.

M E Nelson1, Z Xu, J R Payne.   

Abstract

The first stage of information processing in the electrosensory system involves the encoding of local changes in transdermal potential into trains of action potentials in primary electrosensory afferent nerve fibers. To develop a quantitative model of this encoding process for P-type (probability-coding) afferent fibers in the weakly electric fish Apteronotus leptorhynchus, we recorded single unit activity from electrosensory afferent axons in the posterior branch of the anterior lateral line nerve and analyzed responses to electronically generated sinusoidal amplitude modulations of the local transdermal potential. Over a range of AM frequencies from 0.1 to 200 Hz, the modulation transfer function of P-type afferents is high-pass in character, with a gain that increases monotonically up to AM frequencies of 100 Hz where it begins to roll off, and a phase advance with a range of 15-60 degrees. Based on quantitative analysis of the observed gain and phase characteristics, we present a computationally efficient model of P-type afferent response dynamics which accurately characterizes changes in afferent firing rate in response to amplitude modulations of the fish's own electric organ discharge over a wide range of AM frequencies relevant to active electrolocation.

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Year:  1997        PMID: 9373958     DOI: 10.1007/s003590050137

Source DB:  PubMed          Journal:  J Comp Physiol A            Impact factor:   1.836


  29 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.  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.  Type I burst excitability.

Authors:  Carlo R Laing; Brent Doiron; André Longtin; Liza Noonan; Ray W Turner; Leonard Maler
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

4.  Continuous detection of weak sensory signals in afferent spike trains: the role of anti-correlated interspike intervals in detection performance.

Authors:  J B M Goense; R Ratnam
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-08-14       Impact factor: 1.836

5.  Comparison of coding capabilities of Type I and Type II neurons.

Authors:  Martin St-Hilaire; André Longtin
Journal:  J Comput Neurosci       Date:  2004 May-Jun       Impact factor: 1.621

6.  To burst or not to burst?

Authors:  Maurice J Chacron; André Longtin; Leonard Maler
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

7.  Sub- and suprathreshold adaptation currents have opposite effects on frequency tuning.

Authors:  Tara Deemyad; Jens Kroeger; Maurice J Chacron
Journal:  J Physiol       Date:  2012-06-25       Impact factor: 5.182

8.  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

9.  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 10.  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

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