Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Degenerate coding in neural systems.

Anthony Leonardo1

  • 1Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA. leonardo@fas.harvard.edu

Journal of Comparative Physiology. A, Neuroethology, Sensory, Neural, and Behavioral Physiology
|October 28, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Shorter-duration escapes driven by <i>Drosophila</i> giant interneurons promote survival during predation.

Proceedings. Biological sciences·2025
Same author

Recovery mechanisms in the dragonfly righting reflex.

Science (New York, N.Y.)·2022
Same author

Heuristic Rules Underlying Dragonfly Prey Selection and Interception.

Current biology : CB·2017
Same author

The Role of Motion Extrapolation in Amphibian Prey Capture.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2015
Same author

Theta sequences are essential for internally generated hippocampal firing fields.

Nature neuroscience·2014
Same author

Internal models direct dragonfly interception steering.

Nature·2014
Same journal

Crepuscular vocal partitioning and thermal limits on calling behavior in the Bubbling Kassina (Kassina senegalensis) in a sub-equatorial savanna.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2026
Same journal

Jewel beetles, Buprestidae, modulate bright structural colours by multileveled optical engineering and surface sculpting.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2026
Same journal

E122Q rhodopsin: pigment microspectrophotometry, photoreceptor light responses, and bleaching adaptation.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2026
Same journal

Greater Japanese horseshoe bats (Rhinolophus nippon) gradually converge their echolocation call frequency to colony members.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2026
Same journal

Tail-rattling in rodents: more than a threat display.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2026
Same journal

Iridescence, polarisation and directionality of Morpho butterfly displays.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2026
See all related articles

Neural circuits often have many possible states that produce the same output, a property called degeneracy. This review explores how degeneracy aids pattern recognition and generation in diverse systems like crustacean, bird, and insect neural networks.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neural circuits often exhibit degeneracy, where multiple internal configurations yield identical outputs.
  • This phenomenon is observed across diverse biological systems, including motor control and sensory processing.

Purpose of the Study:

  • To review and discuss the role of degeneracy in three distinct neural systems: the lobster pyloric network, the zebra finch song control system, and the locust odor encoding system.
  • To highlight the common theme of degeneracy linking these systems despite their functional differences.
  • To propose degeneracy as a fundamental principle for robust neural computation.

Main Methods:

  • Comparative analysis of neural circuit properties across different species.

Related Experiment Videos

  • Computational modeling and theoretical exploration of degeneracy in neural systems.
  • Review of existing literature on the pyloric network, song control, and olfactory processing.

    • Main Results:

    • Degeneracy is a shared characteristic of the pyloric network, song control, and odor encoding systems, linking internal parameters to network outputs.
    • Despite differing dynamics, odor recognition can be computationally viewed as the reverse of song generation, both relying on degeneracy.
    • Degeneracy facilitates mapping sparse neural representations to correlated external stimuli (odors, song structure).

    Conclusions:

    • Degeneracy is an inherent feature of many neural systems, enabling reliable learning, generation, and discrimination of complex patterns.
    • This degeneracy offers a fault-tolerant mechanism for neural computation.
    • Understanding degeneracy provides insights into the principles of neural information processing and adaptation.