Rapid, systematic updating of movement by accumulated decision evidence

dc.contributor.author
Molano-Mazón, M.
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Garcia-Duran, A.
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Pastor-Ciurana, J.
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Hernández-Navarro, L.
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Bektic, L.
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Lombardo, D.
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de la Rocha, J.
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Hyafil, A.
dc.date.accessioned
2025-01-15T10:39:48Z
dc.date.available
2025-01-15T10:39:48Z
dc.date.issued
2024-12-04
dc.identifier.uri
http://hdl.handle.net/2072/480039
dc.description.abstract
Acting in the natural world requires not only deciding among multiple options but also converting decisions into motor commands. How the dynamics of decision formation influence the fine kinematics of response movement remains, however, poorly understood. Here we investigate how the accumulation of decision evidence shapes the response orienting trajectories in a task where freely-moving rats combine prior expectations and auditory information to select between two possible options. Response trajectories and their motor vigor are initially determined by the prior. Rats movements then incorporate sensory information in less than 100 ms after stimulus onset by accelerating or slowing depending on how much the stimulus supports their initial choice. When the stimulus evidence is in strong contradiction, rats change their mind and reverse their initial trajectory. Human subjects performing an equivalent task display a remarkably similar behavior. We encapsulate these results in a computational model that maps the decision variable onto the movement kinematics at discrete time points, capturing subjects' choices, trajectories and changes of mind. Our results show that motor responses are not ballistic. Instead, they are systematically and rapidly updated, as they smoothly unfold over time, by the parallel dynamics of the underlying decision process.
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dc.description.sponsorship
The work was supported by the Spanish State Research Agency (RYC-2017-23231 to A.H. and A.G.D., PID2019-111629GB-I00 to A.H., M.M.M., and A.G.D.; Severo Ochoa and Maria de Maeztu Program for Centers and Units of Excellence in R&D CEX2020-001084-M), Spanish Ministry of Economy and Competitiveness together with the European Regional Development Fund grant SAF2015-70324-R (to J.R.), European Research Council grant ERC-2015-CoG-683209 under the European Union's Horizon 2020 (to J.R.); CERCA Program/Generalitat de Catalunya. Part of the work was developed in the Center Esther Koplowitz (Barcelona). J.R. appreciates the hospitality of the Grossman Center for Quantitative Biology and Human Behavior at the University of Chicago. M.M.M. was supported by the National Institutes of Health under award number 1R01MH132172-01. A.G.D. was supported by the MCIN/AEI/10.13039/501100011033 and the FSE + under award number PRE2022-101492.
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dc.format.extent
19 p.
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dc.language.iso
eng
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dc.publisher
Nature Research
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dc.relation.ispartof
Nature Communications
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dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.source
RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other
Neuroscience
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dc.title
Rapid, systematic updating of movement by accumulated decision evidence
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dc.type
info:eu-repo/semantics/article
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dc.description.version
info:eu-repo/semantics/publishedVersion
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dc.embargo.terms
cap
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dc.identifier.doi
10.1038/s41467-024-53586-7
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dc.rights.accessLevel
info:eu-repo/semantics/openAccess


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