Literature DB >> 10210673

Plasticity of feedback inputs in the apteronotid electrosensory system.

J Bastian1.   

Abstract

Weakly electric fish generate an electric field surrounding their body by means of an electric organ typically located within the trunk and tail. Electroreceptors scattered over the surface of the body encode the amplitude and timing of the electric organ discharge (EOD), and central components of the electrosensory system analyze the information provided by the electroreceptor afferents. The electrosensory system is used for electrolocation, for the detection and analysis of objects near the fish which distort the EOD and for electrocommunication. Since the electric organ is typically located in the tail, any movement of this structure relative to the rest of the body alters the EOD field, resulting in large changes in receptor afferent activity. The amplitude of these reafferent stimuli can exceed the amplitudes of near-threshold electrolocation signals by several orders of magnitude. This review summarizes recent studies of the South American weakly electric fish Apteronotus leptorhynchus aimed at determining how the animals differentiate self-generated or reafferent electrosensory stimuli from those that are more behaviorally relevant. Cells within the earliest stages of central electrosensory processing utilize an adaptive filtering technique which allows the system preferentially to attenuate reafferent as well as other predictable patterns of sensory input without degrading responses to more novel stimuli. Synaptic plasticity within the system underlies the adaptive component of the filter and enables the system to learn to reject new stimulus patterns if these become predictable. A Ca2+-mediated form of postsynaptic depression contributes to this synaptic plasticity. The filter mechanism seen in A. leptorhynchus is surprisingly similar to adaptive filters described previously in mormyrid weakly electric fish and in elasmobranchs, suggesting that this mechanism may be a common feature of sensory processing systems.

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Year:  1999        PMID: 10210673     DOI: 10.1242/jeb.202.10.1327

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


  22 in total

1.  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

2.  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

3.  Feedback and feedforward control of frequency tuning to naturalistic stimuli.

Authors:  Maurice J Chacron; Leonard Maler; Joseph Bastian
Journal:  J Neurosci       Date:  2005-06-08       Impact factor: 6.167

Review 4.  Neurogenesis and neuronal regeneration in the adult fish brain.

Authors:  G K H Zupanc
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-02-07       Impact factor: 1.836

5.  Population coding by electrosensory neurons.

Authors:  Maurice J Chacron; Joseph Bastian
Journal:  J Neurophysiol       Date:  2008-02-06       Impact factor: 2.714

6.  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 7.  Ionic and neuromodulatory regulation of burst discharge controls frequency tuning.

Authors:  W Hamish Mehaffey; Lee D Ellis; Rüdiger Krahe; Robert J Dunn; Maurice J Chacron
Journal:  J Physiol Paris       Date:  2008-10-18

Review 8.  Neuromodulation of early electrosensory processing in gymnotiform weakly electric fish.

Authors:  Brenda Toscano Márquez; Rüdiger Krahe; Maurice J Chacron
Journal:  J Exp Biol       Date:  2013-07-01       Impact factor: 3.312

9.  Active sensing: Pre-receptor mechanisms and behavior in electric fish.

Authors:  Jacob Engelmann; R Pusch; G von der Emde
Journal:  Commun Integr Biol       Date:  2008

Review 10.  Efficient computation via sparse coding in electrosensory neural networks.

Authors:  Maurice J Chacron; André Longtin; Leonard Maler
Journal:  Curr Opin Neurobiol       Date:  2011-06-16       Impact factor: 6.627

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