Cited by 197Neurobiology and Insect Physiology ResearchRobotic Locomotion and ControlDevelopmental Biology and Gene Regulation

Evolution of central pattern generators and rhythmic behaviours

Open access
Katz, Paul S.·2016·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

Comparisons of rhythmic movements and the central pattern generators (CPGs) that control them uncover principles about the evolution of behaviour and neural circuits. Over the course of evolutionary history, gradual evolution of behaviours and their neural circuitry within any lineage of animals has been a predominant occurrence. Small changes in gene regulation can lead to divergence of circuit organization and corresponding changes in behaviour. However, some behavioural divergence has resulted from large-scale rewiring of the neural network. Divergence of CPG circuits has also occurred without a corresponding change in behaviour. When analogous rhythmic behaviours have evolved independently, it has generally been with different neural mechanisms. Repeated evolution of particular rhythmic behaviours has occurred within some lineages due to parallel evolution or latent CPGs. Particular motor pattern generating mechanisms have also evolved independently in separate lineages. The evolution of CPGs and rhythmic behaviours shows that although most behaviours and neural circuits are highly conserved, the nature of the behaviour does not dictate the neural mechanism and that the presence of homologous neural components does not determine the behaviour. This suggests that although behaviour is generated by neural circuits, natural selection can act separately on these two levels of biological organization.

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Crossref · 10.1098/rstb.2015.0057

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97 of 97 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The same circuit may generate different behaviors.

    “the same circuit may generate different behaviors”

    From Neuroscience Needs Behavior: Correcting a Reductionist Bias (2017) · cites this paper as Katz, 2016

  • The same behavior may result from different circuits altogether.

    “from different circuits altogether”

    From Neuroscience Needs Behavior: Correcting a Reductionist Bias (2017) · cites this paper as Katz, 2016

  • The finding that mammalian and avian auditory systems solve the same computational problem with different algorithms and implementations is an example of multiple realizability and deep degeneracy.

    “This finding is a compelling example of multiple realizability and deep degeneracy, since different implementational features yield different algorithms, but both solve the same computational problem (Katz, 2016;Marom et al., 2009).”

    From Neuroscience Needs Behavior: Correcting a Reductionist Bias (2017) · cites this paper as Katz, 2016

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Authors
Katz, P. S.
Affiliations
Georgia State University (US)
Corresponding author
Katz, Paul S.
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2016-01-05
Volume
371
Issue
1685
Pages
20150057
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2267758623
Cited by
197
References
98
Citations by year
2026: 9 · 2025: 15 · 2024: 31 · 2023: 25 · 2022: 20 · 2021: 18 · 2020: 17 · 2019: 21 · 2018: 18 · 2017: 17 · 2016: 5 · 2015: 1
FWCI
1.62
Type
journal article
Language
en
Open access
Locations
  • Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Directorate for Biological Sciences (IOS-1120950)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
  • Physical Sciences › Engineering › Biomedical Engineering › Robotic Locomotion and Control
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
Keywords
central pattern generator, rhythmic behavior, evolution of behavior, neural circuit evolution, gene expression regulation, parallel evolution, motor pattern generation
MeSH terms
Animals, Behavior, Animal, Central Nervous System, Biological Evolution, Motor Activity, Periodicity

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