Literature DB >> 16899717

Effects of sensing behavior on a latency code.

Nathaniel B Sawtell1, Alan Williams, Patrick D Roberts, Gerhard von der Emde, Curtis C Bell.   

Abstract

Sensory information is often acquired through active exploration, yet relatively little is known about how neurons encode sensory stimuli in the context of natural patterns of sensing behavior. We examined the effects of sensing behavior on a spike latency code in the active electrosensory system of mormyrid fish. These fish actively probe their environment by emitting brief electric organ discharge (EOD) pulses. Nearby objects alter the spatial pattern of current flowing through the skin. These changes are encoded by small shifts in the latency of individual electroreceptor afferent spikes after the EOD. In nature, the temporal pattern of EOD intervals is highly structured and varies depending on the behavioral context. We performed experiments in which we varied both the EOD amplitude and the intervals between EODs to understand how sensing behavior affects afferent latency coding. We use white-noise stimuli and linear filter estimation methods to develop simple models characterizing the dependence of afferent spike latency on the preceding sequence of EOD intervals and amplitudes. Comparing the predictions of these models with actual afferent responses for natural patterns of EOD intervals and amplitudes reveals an unexpectedly rich interplay between sensing behavior and stimulus encoding. Implications of our results for how afferent spike latency is decoded at central stages of electrosensory processing are discussed.

Mesh:

Year:  2006        PMID: 16899717      PMCID: PMC6673807          DOI: 10.1523/JNEUROSCI.1508-06.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  8 in total

1.  Ongoing temporal coding of a stochastic stimulus as a function of intensity: time-intensity trading.

Authors:  Pascal Michelet; Damir Kovacić; Philip X Joris
Journal:  J Neurosci       Date:  2012-07-11       Impact factor: 6.167

2.  Receptive field properties of neurons in the electrosensory lateral line lobe of the weakly electric fish, Gnathonemus petersii.

Authors:  Michael G Metzen; Jacob Engelmann; João Bacelo; Kirsty Grant; Gerhard von der Emde
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-10-15       Impact factor: 1.836

3.  Throwing a glance at the neural code: rapid information transmission in the visual system.

Authors:  Tim Gollisch
Journal:  HFSP J       Date:  2008-12-03

4.  Effects of restraint and immobilization on electrosensory behaviors of weakly electric fish.

Authors:  Eva M Hitschfeld; Sarah A Stamper; Katrin Vonderschen; Eric S Fortune; Maurice J Chacron
Journal:  ILAR J       Date:  2009

5.  Task-Related Sensorimotor Adjustments Increase the Sensory Range in Electrolocation.

Authors:  Federico Pedraja; Volker Hofmann; Julie Goulet; Jacob Engelmann
Journal:  J Neurosci       Date:  2019-12-09       Impact factor: 6.167

6.  Motor patterns during active electrosensory acquisition.

Authors:  Volker Hofmann; Bart R H Geurten; Juan I Sanguinetti-Scheck; Leonel Gómez-Sena; Jacob Engelmann
Journal:  Front Behav Neurosci       Date:  2014-05-28       Impact factor: 3.558

7.  Neural readout of a latency code in the active electrosensory system.

Authors:  Krista E Perks; Nathaniel B Sawtell
Journal:  Cell Rep       Date:  2022-03-29       Impact factor: 9.423

8.  Computing complex visual features with retinal spike times.

Authors:  Robert Gütig; Tim Gollisch; Haim Sompolinsky; Markus Meister
Journal:  PLoS One       Date:  2013-01-02       Impact factor: 3.240

  8 in total

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