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  A dynamical systems view of neuroethology: uncovering stateful computation in natural behaviors

Robson, D., & Li, J. (2022). A dynamical systems view of neuroethology: uncovering stateful computation in natural behaviors. Current Opinion in Neurobiology, 73: 102517, pp. 1-11. doi:10.1016/j.conb.2022.01.002.

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 Creators:
Robson, DN1, 2, Author              
Li, JM1, 2, Author              
Affiliations:
1Research Group Systems Neuroscience & Neuroengineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3168483              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: State-dependent computation is key to cognition in both biological and artificial systems. Alan Turing recognized the power of stateful computation when he created the Turing machine with theoretically infinite computational capacity in 1936. Independently, by 1950, ethologists such as Tinbergen and Lorenz also began to implicitly embed rudimentary forms of state-dependent computation to create qualitative models of internal drives and naturally occurring animal behaviors. Here, we reformulate core ethological concepts in explicitly dynamical systems terms for stateful computation. We examine, based on a wealth of recent neural data collected during complex innate behaviors across species, the neural dynamics that determine the temporal structure of internal states. We will also discuss the degree to which the brain can be hierarchically partitioned into nested dynamical systems and the need for a multi-dimensional state-space model of the neuromodulatory system that underlies motivational and affective states.

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 Dates: 2021-122022-04
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.conb.2022.01.002
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Title: Current Opinion in Neurobiology
  Other : Curr. Opin.Neurobiol.
Source Genre: Journal
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Publ. Info: New York, NY : Elsevier Current Trends
Pages: - Volume / Issue: 73 Sequence Number: 102517 Start / End Page: 1 - 11 Identifier: ISSN: 0959-4388
CoNE: https://pure.mpg.de/cone/journals/resource/954925578066