Literature DB >> 20685928

Coding of stimuli by ampullary afferents in Gnathonemus petersii.

J Engelmann1, S Gertz, J Goulet, A Schuh, G von der Emde.   

Abstract

Weakly electric fish use electroreception for both active and passive electrolocation and for electrocommunication. While both active and passive electrolocation systems are prominent in weakly electric Mormyriform fishes, knowledge of their passive electrolocation ability is still scarce. To better estimate the contribution of passive electric sensing to the orientation toward electric stimuli in weakly electric fishes, we investigated frequency tuning applying classical input-output characterization and stimulus reconstruction methods to reveal the encoding capabilities of ampullary receptor afferents. Ampullary receptor afferents were most sensitive (threshold: 40 μV/cm) at low frequencies (<10 Hz) and appear to be tuned to a mix of amplitude and slope of the input signals. The low-frequency tuning was corroborated by behavioral experiments, but behavioral thresholds were one order of magnitude higher. The integration of simultaneously recorded afferents of similar frequency-tuning resulted in strongly enhanced signal-to-noise ratios and increased mutual information rates but did not increase the range of frequencies detectable by the system. Theoretically the neuronal integration of input from receptors experiencing opposite polarities of a stimulus (left and right side of the fish) was shown to enhance encoding of such stimuli, including an increase of bandwidth. Covariance and coherence analysis showed that spiking of ampullary afferents is sufficiently explained by the spike-triggered average, i.e., receptors respond to a single linear feature of the stimulus. Our data support the notion of a division of labor of the active and passive electrosensory systems in weakly electric fishes based on frequency tuning. Future experiments will address the role of central convergence of ampullary input that we expect to lead to higher sensitivity and encoding power of the system.

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Year:  2010        PMID: 20685928     DOI: 10.1152/jn.00503.2009

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


  8 in total

1.  Sensory coding in oscillatory electroreceptors of paddlefish.

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

2.  Adaptive responses of peripheral lateral line nerve fibres to sinusoidal wave stimuli.

Authors:  Joachim Mogdans; Christina Müller; Maren Frings; Ferdinand Raap
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-04-12       Impact factor: 1.836

3.  Synchronous spikes are necessary but not sufficient for a synchrony code in populations of spiking neurons.

Authors:  Jan Grewe; Alexandra Kruscha; Benjamin Lindner; Jan Benda
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-15       Impact factor: 11.205

4.  Internally Generated Predictions Enhance Neural and Behavioral Detection of Sensory Stimuli in an Electric Fish.

Authors:  Armen G Enikolopov; L F Abbott; Nathaniel B Sawtell
Journal:  Neuron       Date:  2018-07-11       Impact factor: 17.173

5.  Identifying temporal codes in spontaneously active sensory neurons.

Authors:  Alexander B Neiman; David F Russell; Michael H Rowe
Journal:  PLoS One       Date:  2011-11-08       Impact factor: 3.240

6.  Automatic realistic real time stimulation/recording in weakly electric fish: long time behavior characterization in freely swimming fish and stimuli discrimination.

Authors:  Caroline G Forlim; Reynaldo D Pinto
Journal:  PLoS One       Date:  2014-01-06       Impact factor: 3.240

7.  Temporal Code-Driven Stimulation: Definition and Application to Electric Fish Signaling.

Authors:  Angel Lareo; Caroline G Forlim; Reynaldo D Pinto; Pablo Varona; Francisco de Borja Rodriguez
Journal:  Front Neuroinform       Date:  2016-10-06       Impact factor: 4.081

8.  Generalization of learned responses in the mormyrid electrosensory lobe.

Authors:  Conor Dempsey; L F Abbott; Nathaniel B Sawtell
Journal:  Elife       Date:  2019-03-14       Impact factor: 8.140

  8 in total

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