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  Implementing goal-directed foraging decisions of a simpler nervous system in simulation

Brown, J. W., Caetano-Anollés, D., Catanho, M., Gribkova, E., Ryckman, N., Tian, K., et al. (2018). Implementing goal-directed foraging decisions of a simpler nervous system in simulation. eNeuro, 5(1): e0400-17.2018. doi:10.1523/ENEURO.0400-17.2018.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-6B60-B Version Permalink: http://hdl.handle.net/21.11116/0000-0001-6B61-A
Genre: Journal Article

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 Creators:
Brown, Jeffrey W., Author
Caetano-Anollés, Derek1, Author              
Catanho, Marianne, Author
Gribkova, Ekaterina, Author
Ryckman, Nathaniel, Author
Tian, Kun, Author
Voloshin, Mikhail, Author
Gillette, Rhanor, Author
Affiliations:
1Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              

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Free keywords: Decision; Homeostasis; Learning; Motivation; Pleurobranchaea; Simulation; amplitude modulation; appetitive behavior; Article foraging behavior; homeostasis; human; learning; locomotion; motivation; nervous system; nonhuman; Pleurobranchaea; prey; priority journal; satiety; sensory stimulation; simulation; stimulus response
 Abstract: Economic decisions arise from evaluation of alternative actions in contexts of motivation and memory. In the predatory sea-slug Pleurobranchaea the economic decisions of foraging are found to occur by the workings of a simple, affectively controlled homeostat with learning abilities. Here, the neuronal circuit relations for approach-avoidance choice of Pleurobranchaea are expressed and tested in the foraging simulation Cyberslug. Choice is organized around appetitive state as a moment-to-moment integration of sensation, motivation (satiation/hunger), and memory. Appetitive state controls a switch for approach vs. avoidance turn responses to sensation. Sensory stimuli are separately integrated for incentive value into appetitive state, and for prey location (stimulus place) into mapping motor response. Learning interacts with satiation to regulate prey choice affectively. The virtual predator realistically reproduces the decisions of the real one in varying circumstances and satisfies optimal foraging criteria. The basic relations are open to experimental embellishment toward enhanced neural and behavioral complexity in simulation, as was the ancestral bilaterian nervous system in evolution. © 2018 Brown et al.

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Language(s): eng - English
 Dates: 2018-02-262018
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: eNeuro
Source Genre: Journal
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Publ. Info: Washington, DC : Society for Neuroscience
Pages: 10 Volume / Issue: 5 (1) Sequence Number: e0400-17.2018 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/106249492X