A model of naturalistic decision making in preference tests.

Decisions as to whether to continue with an ongoing activity or to switch to an alternative are a constant in an animal's natural world, and in particular underlie foraging behavior and performance in food preference tests. Stimuli experienced by the animal both impact the choice and are themse...

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Autores principales: John Ksander, Donald B Katz, Paul Miller
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/bbc181d29d164707a0113bede16c0c2c
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spelling oai:doaj.org-article:bbc181d29d164707a0113bede16c0c2c2021-12-02T19:57:44ZA model of naturalistic decision making in preference tests.1553-734X1553-735810.1371/journal.pcbi.1009012https://doaj.org/article/bbc181d29d164707a0113bede16c0c2c2021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009012https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Decisions as to whether to continue with an ongoing activity or to switch to an alternative are a constant in an animal's natural world, and in particular underlie foraging behavior and performance in food preference tests. Stimuli experienced by the animal both impact the choice and are themselves impacted by the choice, in a dynamic back and forth. Here, we present model neural circuits, based on spiking neurons, in which the choice to switch away from ongoing behavior instantiates this back and forth, arising as a state transition in neural activity. We analyze two classes of circuit, which differ in whether state transitions result from a loss of hedonic input from the stimulus (an "entice to stay" model) or from aversive stimulus-input (a "repel to leave" model). In both classes of model, we find that the mean time spent sampling a stimulus decreases with increasing value of the alternative stimulus, a fact that we linked to the inclusion of depressing synapses in our model. The competitive interaction is much greater in "entice to stay" model networks, which has qualitative features of the marginal value theorem, and thereby provides a framework for optimal foraging behavior. We offer suggestions as to how our models could be discriminatively tested through the analysis of electrophysiological and behavioral data.John KsanderDonald B KatzPaul MillerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1009012 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
John Ksander
Donald B Katz
Paul Miller
A model of naturalistic decision making in preference tests.
description Decisions as to whether to continue with an ongoing activity or to switch to an alternative are a constant in an animal's natural world, and in particular underlie foraging behavior and performance in food preference tests. Stimuli experienced by the animal both impact the choice and are themselves impacted by the choice, in a dynamic back and forth. Here, we present model neural circuits, based on spiking neurons, in which the choice to switch away from ongoing behavior instantiates this back and forth, arising as a state transition in neural activity. We analyze two classes of circuit, which differ in whether state transitions result from a loss of hedonic input from the stimulus (an "entice to stay" model) or from aversive stimulus-input (a "repel to leave" model). In both classes of model, we find that the mean time spent sampling a stimulus decreases with increasing value of the alternative stimulus, a fact that we linked to the inclusion of depressing synapses in our model. The competitive interaction is much greater in "entice to stay" model networks, which has qualitative features of the marginal value theorem, and thereby provides a framework for optimal foraging behavior. We offer suggestions as to how our models could be discriminatively tested through the analysis of electrophysiological and behavioral data.
format article
author John Ksander
Donald B Katz
Paul Miller
author_facet John Ksander
Donald B Katz
Paul Miller
author_sort John Ksander
title A model of naturalistic decision making in preference tests.
title_short A model of naturalistic decision making in preference tests.
title_full A model of naturalistic decision making in preference tests.
title_fullStr A model of naturalistic decision making in preference tests.
title_full_unstemmed A model of naturalistic decision making in preference tests.
title_sort model of naturalistic decision making in preference tests.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/bbc181d29d164707a0113bede16c0c2c
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