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Cited by 319Neural dynamics and brain functionNeurobiology and Insect Physiology ResearchRobotic Locomotion and Control

The DOI matches its Crossref record; 196 of the 197 references it cites were found in a registry or an index.

Are central pattern generators understandable?

Selverston, Allen I.·1980·Behavioral and Brain Sciences
DOI 10.1017/s0140525x00006580
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Abstract

Abstract Most rhythmic behaviors are produced by a specialized ensemble of neurons found in the central nervous system. These central pattern generators (CPGs) have become a cornerstone of neuronal circuit analysis. Studying simple invertebrate nervous systems may reveal the interactions of the neurons involved in the production of rhythmic motor output. There has recently been progress in this area, but due to certain intrinsic features of CPGs it is unlikely that present techniques will ever yield a complete understanding of any but the simplest of them. The chief impediment seems to be our inability to identify and characterize the total interneuronal pool making up a CPG. In addition, our general analytic strategy relies on a descriptive, reductionist approach, with no analytical constructs beyond phenomenological modeling. Detailed descriptive data are usually not of sufficient depth for specific model testing, giving rise instead to ad hoc explanations of mechanisms which usually turn out to be incorrect. Because they make too many assumptions, modeling studies have not added much to our understanding of CPCs; this is due not so much to inadequate simulations as to the poor quality and incomplete nature of the data provided by experimentalists. A basic strategy that would provide sufficient information for neural modeling would include: (1) identifying and characterizing each element in the CPG network; (2) specifying the synaptic connectivity between the elements; and (3) analyzing nonlinear synaptic properties and interactions by means of the connectivity matrix. Limitations based on our present technical capabilities are also discussed.

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Citations

Cites

Research works printed but not linked: 32

  1. Orlovsky, 1976, International Review of Physiology, 281
  2. Calabrese, 1979, Suppression of the activity of secondary impulse initiation sites by the activity of a primary initiation site in rhythmically active neurons, Society for Neuroscience Abstract, 5, 493
  3. Holmes P. J. (to appear) Phase locking and chaos in coupled limit cycle oscillators. Proceedings, Symposium on Recent Advances in Structural Dynamics, Southampton, England. [AHC]
  4. Ayers, 1977, Monosynaptic control of inter- and intra-oscillator coordination of an endogenous pacemaker network, Society for Neuroscience Abstracts, 3, 267
  5. Kandel, 1967, The Neurosiences First Study Program, 666
  6. Gorski, 1979, The Neurosciences, 4th Study Program
  7. Hollerbach, 1977, A simple model of handwriting. 5th International Joint Conference in Artificial Intelligence
  8. Reingold, 1980, [3H)-2-Deoxyglucose uptake in the molluscan central nervous system, Society for Neuroscience Abstracts, 6, 74
  9. Ornberg, Radioautographic localization of glucose utilization by neurons in culture, Journal of Cell Biology, 83, 142
  10. Getting, Central pattern generator mediating swimming in Tritonia. I. Identification and synaptic interaction, Journal of Neurophysiology
  11. Baker, 1977, Proceedings of the Symposium held in Royaumont, Paris, France, July 1977
  12. Bullock, 1976, Simple Networks and Behavior, 52
  13. Bunge, 1980, Information Processing in the Nervous System, 1
  14. Diamond, 1979, The Neurosciences
  15. Fentress, 1980, Information processing in the nervous system, 236
  16. Granzow, 1979, Comparison of serotonergic cerebral cells of Helisoma trivolvis with the metacerebral cells of some other gastropods, Neuroscience Abstracts, 5, 247
  17. Grillner, 1977, Function and Formation of Neural Systems, 197
  18. Holst, 1973, The behavioral physiology of animals and man: the collected papers of Erich von Holst
  19. Luco, 1963, Perspectives in Biology, 355
  20. Lynch, 1979, The Neurosciences, 4th Study Program
  21. Maynard, 1966, Electrotonic junctions and negative feedback in the stomatogastric ganglion of the mud crab, Scylla serrata, American Zoologist, 6, 526
  22. Patterson, 1979, The Neurosciences, 4th Study Program
  23. Perkel, 1965, Biophysics and Cybernetic Systems
  24. Senseman, 1974, Comparative aspects of the morphology and physiology of a single identifiable neuron in Helix aspersa, Limax maximus, and Ariolimax californica, Malacological Review, 7, 51
  25. Sokoloff, 1974, The [14C]deoxyglucose method for the quantitative determination of local cerebral glucose consumption, Proceedings of the Fifth Meeting of the American Society of Neurochemistry, 86
  26. Stent, 1969, The Coming of the Golden Age
  27. Weeks J. C. (1980a) The Roles of Identified Interneurons in Initiating and Generating the Swimming Motor Pattern of Leeches. Doctoral dissertation. University of California at San Diego, La Jolla, Calif. [JCW]
  28. Weiss, 1975, Modulatory command function of the metacerebral cell on feeding behavior in Aplysia, Federation Proceedings of the Federation of American Societies of Experimental Biology, 34, 418
  29. Wilson, 1964, Neural Theory and Modeling, 331
  30. Miller, 1979, Rapid killing of single neurons by illumination of intracellularly injected dye, Society for Neuroscience Abstracts, 5, 496
  31. Eyman, 1978, Merickel, M. Kater, S. B, Brain Research, 159, 331
  32. Berry, 1974, The value of high extracellular calcium as a test for monosynaptic connexions in Planorbis corneus, journal of Physiology, 242, 82

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Metadata

Authors
Selverston, A. I.
Affiliations
University of California System (US)
Corresponding author
Selverston, Allen I.
Venue
Behavioral and Brain Sciences
Publisher
Cambridge University Press (CUP)
Published
1980-12
Volume
3
Issue
4
Pages
535-540
ISSN
  • 0140-525X (ISSN-L)
  • 1469-1825
DOI
10.1017/s0140525x00006580
OpenAlex
W1986401459
Cited by
319
References
197
Citations by year
2026: 2 · 2024: 5 · 2022: 2 · 2021: 4 · 2020: 3 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 1 · 2014: 3 · 2013: 1 · 2012: 4
FWCI
14.91
Type
journal article
Language
en
Open access
closed
Licence
www.cambridge.org/core/terms (unspecified, 10657 d)
Locations
Behavioral and Brain Sciences (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
  • Physical Sciences › Engineering › Control and Systems Engineering › Robotic Locomotion and Control
Keywords
central pattern generator, invertebrate nervous system, synaptic connectivity, connectivity matrix, phenomenological model

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