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Promises and challenges of human computational ethology

Mobbs, Dean and Wise, Toby and Suthana, Nanthia and Guzmán, Noah and Kriegeskorte, Nikolaus and Leibo, Joel Z. (2021) Promises and challenges of human computational ethology. Neuron, 109 (14). pp. 2224-2238. ISSN 0896-6273. doi:10.1016/j.neuron.2021.05.021. https://resolver.caltech.edu/CaltechAUTHORS:20210626-183437479

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Abstract

The movements an organism makes provide insights into its internal states and motives. This principle is the foundation of the new field of computational ethology, which links rich automatic measurements of natural behaviors to motivational states and neural activity. Computational ethology has proven transformative for animal behavioral neuroscience. This success raises the question of whether rich automatic measurements of behavior can similarly drive progress in human neuroscience and psychology. New technologies for capturing and analyzing complex behaviors in real and virtual environments enable us to probe the human brain during naturalistic dynamic interactions with the environment that so far were beyond experimental investigation. Inspired by nonhuman computational ethology, we explore how these new tools can be used to test important questions in human neuroscience. We argue that application of this methodology will help human neuroscience and psychology extend limited behavioral measurements such as reaction time and accuracy, permit novel insights into how the human brain produces behavior, and ultimately reduce the growing measurement gap between human and animal neuroscience.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.neuron.2021.05.021DOIArticle
ORCID:
AuthorORCID
Mobbs, Dean0000-0003-1175-3772
Wise, Toby0000-0002-9021-3282
Suthana, Nanthia0000-0002-8796-3277
Leibo, Joel Z.0000-0002-3153-916X
Additional Information:© 2021 Elsevier. Available online 17 June 2021. This work was supported by National Institute of Mental Health grant 2P50MH094258, a Chen Institute award (P2026052), and Templeton Foundation grant TWCF0366 (all to D.M.). T.W. is supported by a Wellcome Trust Sir Henry Wellcome Fellowship (206460/17/Z). This work is also supported by the National Institutes of Health (NIH) National Institute of Neurological Disorders and Stroke (NINDS; NS103802 and NS117838), the McKnight Foundation (Technological Innovations Award in Neuroscience to N.S.), and a Keck Junior Faculty Award (to N.S.). We thank Matthew Botvinick for feedback on an earlier version of this paper.
Group:Tianqiao and Chrissy Chen Institute for Neuroscience
Funders:
Funding AgencyGrant Number
NIH2P50MH094258
National Institute of Mental Health (NIMH)UNSPECIFIED
Tianqiao and Chrissy Chen Institute for NeuroscienceP2026052
John Templeton FoundationTWCF0366
Wellcome Trust206460/17/Z
NIHNS103802
NIHNS117838
McKnight FoundationUNSPECIFIED
National Institute of Neurological Disorders and Stroke (NINDS)UNSPECIFIED
UCLAUNSPECIFIED
Issue or Number:14
DOI:10.1016/j.neuron.2021.05.021
Record Number:CaltechAUTHORS:20210626-183437479
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210626-183437479
Official Citation:Dean Mobbs, Toby Wise, Nanthia Suthana, Noah Guzmán, Nikolaus Kriegeskorte, Joel Z. Leibo, Promises and challenges of human computational ethology, Neuron, Volume 109, Issue 14, 2021, Pages 2224-2238, ISSN 0896-6273, https://doi.org/10.1016/j.neuron.2021.05.021.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109597
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:28 Jun 2021 16:10
Last Modified:26 Jul 2021 22:31

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