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When instability makes sense

Author

Listed:
  • Peter Ashwin

    (School of Engineering, Computer Science and Mathematics, University of Exeter)

  • Marc Timme

    (Max Planck Institute for Dynamics and Self-Organization, and the Bernstein Center for Computational Neuroscience)

Abstract

Mathematical models that use instabilities to describe changes of weather patterns or spacecraft trajectories are well established. Could such principles apply to the sense of smell, and to other aspects of neural computation?

Suggested Citation

  • Peter Ashwin & Marc Timme, 2005. "When instability makes sense," Nature, Nature, vol. 436(7047), pages 36-37, July.
    • Handle: RePEc:nat:nature:v:436:y:2005:i:7047:d:10.1038_436036b
    DOI: 10.1038/436036b
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    Cited by:

    1. Emili Balaguer-Ballester & Christopher C Lapish & Jeremy K Seamans & Daniel Durstewitz, 2011. "Attracting Dynamics of Frontal Cortex Ensembles during Memory-Guided Decision-Making," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-19, May.
    2. Duan, Zhisheng & Wang, Jinzhi & Yang, Ying & Huang, Lin, 2009. "Frequency-domain and time-domain methods for feedback nonlinear systems and applications to chaos control," Chaos, Solitons & Fractals, Elsevier, vol. 40(2), pages 848-861.
    3. Axel M. Eriksson & Oriel Shoshani & Daniel López & Steven W. Shaw & David A. Czaplewski, 2023. "Controllable branching of robust response patterns in nonlinear mechanical resonators," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    4. Tobias Wand & Martin He{ss}ler & Oliver Kamps, 2022. "Identifying Dominant Industrial Sectors in Market States of the S&P 500 Financial Data," Papers 2208.14106, arXiv.org, revised Mar 2023.
    5. Alexander Maye & Chih-hao Hsieh & George Sugihara & Björn Brembs, 2007. "Order in Spontaneous Behavior," PLOS ONE, Public Library of Science, vol. 2(5), pages 1-14, May.

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