Neuronal control of behavioral plasticity: the prepacemaker nucleus of weakly electric gymnotiform fish
Gymnotiform fish of the genera Apteronotus and Eigenmannia provide an excellent vertebrate model system to study neural mechanisms controlling behavioral plasticity. These teleosts generate, by means of an electric organ, quasi-sinusoidal discharges of extremely stable frequency and waveform. Modula...
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Published in | Journal of Comparative Physiology A: Sensory, Neural, and Behavioral Physiology Vol. 180; no. 2; pp. 99 - 111 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
01.02.1997
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Subjects | |
Online Access | Get full text |
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Summary: | Gymnotiform fish of the genera Apteronotus and Eigenmannia provide an excellent vertebrate model system to study neural mechanisms controlling behavioral plasticity. These teleosts generate, by means of an electric organ, quasi-sinusoidal discharges of extremely stable frequency and waveform. Modulations consisting of transient rises in discharge frequency are produced during social encounters, and play an important role in communication. These so-called "chirps" exhibit a remarkable sexual dimorphism, as well as an enormous seasonal and individual variability. Chirping behavior is controlled by a subset of neurons in the complex of the central posterior/prepacemaker nucleus in the diencephalon. It is hypothesized that the plasticity in the performance of chirping behavior is, at least in part, governed by two mechanisms: first, by seasonally induced structural changes in dendritic morphology of neurons of the prepacemaker nucleus, thus leading to pronounced alterations in excitatory input. Second, by androgen-controlled changes in the innervation pattern of the prepacemaker nucleus by fibers expressing the neuropeptide substance P. In addition to these two dynamic processes, cells are generated continuously and at high number in the central posterior /prepacemaker nucleus during adulthood. This phenomenon may provide the basis for a "refreshment", thus facilitating possible changes in the underlying neural network. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 |
ISSN: | 0340-7594 1432-1351 |
DOI: | 10.1007/s003590050031 |