Literature DB >> 3973680

Phase and amplitude computations in the midbrain of an electric fish: intracellular studies of neurons participating in the jamming avoidance response of Eigenmannia.

W Heiligenberg, G Rose.   

Abstract

Electric fish monitor modulations in sensory feedback from their own electric organ discharges (EODs) to locate moving objects and to detect interfering EODs of their neighbors. The gymnotoid genus Eigenmannia minimizes detrimental effects of jamming by EODs of its neighbors by shifting its own EOD frequency away from a neighbor's EOD frequency that is too close to its own. Since the animal lowers its own frequency if its neighbor's frequency is higher and raises its frequency if its neighbor's frequency is lower, this jamming avoidance response (JAR) requires that the animal determine the sign of the difference frequency, Df, between the interfering EODs. Eigenmannia obtains this information by evaluating modulations in the amplitude and phase which its nearly sinusoidal EOD signal experiences due to the interference with the neighbor's EODs. The necessary logical operations are executed in the dorsal torus semicircularis, an analogue of the inferior colliculus of higher vertebrates, and are similar to operations underlying directional hearing. By intracellular labeling of physiologically identified cells we have identified the anatomy and functional characteristics of neurons involved in the processing of amplitude and phase information. The JAR is controlled by hierarchical and parallel processing of information in several laminae of somatotopically ordered neurons. Phase differences between signals received by electroreceptors in different parts of the body surface are computed in lamina 6. Information about differential phase is then relayed to multipolar cells in the deeper laminae 8, b and c, which also receive information about modulations in local signal amplitude. These cells are excited by a rise or fall of amplitude as well as by a lead or lag of phase. According to their responses to either of these two variables, these neurons can be divided into four classes. These classes encode all information necessary for the control of the JAR and project to the optic tectum. Dynamic properties and sensory specificities of the JAR are not found in individual, properly tuned neurons but rather emerge statistically from the joint effects of a large population of imprecisely tuned neurons. This system is characterized by a distributed pattern of organization and by the absence of a small number of key neurons whose malfunction would jeopardize the behavioral response. The complexity of this neural machinery appears unnecessary for the logically simple task of the JAR, and it suggests that this behavior was acquired later in evolution by being derived from more general motor responses to moving objects.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1985        PMID: 3973680      PMCID: PMC6565201     

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


  30 in total

1.  Short-term synaptic plasticity contributes to the temporal filtering of electrosensory information.

Authors:  E S Fortune; G J Rose
Journal:  J Neurosci       Date:  2000-09-15       Impact factor: 6.167

2.  Sparse and dense coding of natural stimuli by distinct midbrain neuron subpopulations in weakly electric fish.

Authors:  Katrin Vonderschen; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2011-09-21       Impact factor: 2.714

3.  Differential distribution of ampullary and tuberous processing in the torus semicircularis of Eigenmannia.

Authors:  G J Rose; S J Call
Journal:  J Comp Physiol A       Date:  1992-02       Impact factor: 1.836

4.  Structure and function of neurons in the complex of the nucleus electrosensorius of the gymnotiform fish Eigenmannia: detection and processing of electric signals in social communication.

Authors:  W Heiligenberg; C H Keller; W Metzner; M Kawasaki
Journal:  J Comp Physiol A       Date:  1991-08       Impact factor: 1.836

5.  Walter Heiligenberg: the jamming avoidance response and beyond.

Authors:  G K H Zupanc; T H Bullock
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-01-28       Impact factor: 1.836

Review 6.  Encoding and processing biologically relevant temporal information in electrosensory systems.

Authors:  E S Fortune; G J Rose; M Kawasaki
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-02-01       Impact factor: 1.836

7.  Simulations of a phase comparing neuron of the electric fish Eigenmannia.

Authors:  W W Lytton
Journal:  J Comp Physiol A       Date:  1991-07       Impact factor: 1.836

8.  Behavioral responses to jamming and 'phantom' jamming stimuli in the weakly electric fish Eigenmannia.

Authors:  Bruce A Carlson; Masashi Kawasaki
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-07-03       Impact factor: 1.836

9.  The coding of signals in the electric communication of the gymnotiform fish Eigenmannia: from electroreceptors to neurons in the torus semicircularis of the midbrain.

Authors:  W Metzner; W Heiligenberg
Journal:  J Comp Physiol A       Date:  1991-08       Impact factor: 1.836

10.  Phase encoding in the Mauthner system: implications in left-right sound source discrimination.

Authors:  Shennan A Weiss; Thomas Preuss; Donald S Faber
Journal:  J Neurosci       Date:  2009-03-18       Impact factor: 6.167

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