Literature DB >> 10899196

Robustness and variability of neuronal coding by amplitude-sensitive afferents in the weakly electric fish eigenmannia.

G Kreiman1, R Krahe, W Metzner, C Koch, F Gabbiani.   

Abstract

We investigated the variability of P-receptor afferent spike trains in the weakly electric fish, Eigenmannia, to repeated presentations of random electric field AMs (RAMs) and quantified its impact on the encoding of time-varying stimuli. A new measure of spike timing jitter was developed using the notion of spike train distances recently introduced by Victor and Purpura. This measure of variability is widely applicable to neuronal responses, irrespective of the type of stimuli used (deterministic vs. random) or the reliability of the recorded spike trains. In our data, the mean spike count and its variance measured in short time windows were poorly correlated with the reliability of P-receptor afferent spike trains, implying that such measures provide unreliable indices of trial-to-trial variability. P-receptor afferent spike trains were considerably less variable than those of Poisson model neurons. The average timing jitter of spikes lay within 1-2 cycles of the electric organ discharge (EOD). At low, but not at high firing rates, the timing jitter was dependent on the cutoff frequency of the stimulus and, to a lesser extent, on its contrast. When spikes were artificially manipulated to increase jitter, information conveyed by P-receptor afferents was degraded only for average jitters considerably larger than those observed experimentally. This suggests that the intrinsic variability of single spike trains lies outside of the range where it might degrade the information conveyed, yet still allows for improvement in coding by averaging across multiple afferent fibers. Our results were summarized in a phenomenological model of P-receptor afferents, incorporating both their linear transfer properties and the variability of their spike trains. This model complements an earlier one proposed by Nelson et al. for P-receptor afferents of Apteronotus. Because of their relatively high precision with respect to the EOD cycle frequency, P-receptor afferent spike trains possess the temporal resolution necessary to support coincidence detection operations at the next stage in the amplitude-coding pathway.

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Year:  2000        PMID: 10899196     DOI: 10.1152/jn.2000.84.1.189

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  28 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.  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

3.  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

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.  Non-Euclidean properties of spike train metric spaces.

Authors:  Dmitriy Aronov; Jonathan D Victor
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-06-02

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.  Correlations between neuron activity in the sensorimotor cortex of the right and left hemispheres in rabbits during a defensive dominant and "animal hypnosis".

Authors:  A V Bogdanov; A G Galashina; N N Karamysheva
Journal:  Neurosci Behav Physiol       Date:  2010-07-17

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

Review 9.  Spike train metrics.

Authors:  Jonathan D Victor
Journal:  Curr Opin Neurobiol       Date:  2005-10       Impact factor: 6.627

10.  Neural variability, detection thresholds, and information transmission in the vestibular system.

Authors:  Soroush G Sadeghi; Maurice J Chacron; Michael C Taylor; Kathleen E Cullen
Journal:  J Neurosci       Date:  2007-01-24       Impact factor: 6.167

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