Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex
Abstract We used a dynamical systems perspective to understand decision-related neural activity, a fundamentally unresolved problem. This perspective posits that time-varying neural activity is described by a state equation with an initial condition and evolves in time by combining at each time step...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-41752-2 |
| _version_ | 1797558472457322496 |
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| author | Pierre O. Boucher Tian Wang Laura Carceroni Gary Kane Krishna V. Shenoy Chandramouli Chandrasekaran |
| author_facet | Pierre O. Boucher Tian Wang Laura Carceroni Gary Kane Krishna V. Shenoy Chandramouli Chandrasekaran |
| author_sort | Pierre O. Boucher |
| collection | DOAJ |
| description | Abstract We used a dynamical systems perspective to understand decision-related neural activity, a fundamentally unresolved problem. This perspective posits that time-varying neural activity is described by a state equation with an initial condition and evolves in time by combining at each time step, recurrent activity and inputs. We hypothesized various dynamical mechanisms of decisions, simulated them in models to derive predictions, and evaluated these predictions by examining firing rates of neurons in the dorsal premotor cortex (PMd) of monkeys performing a perceptual decision-making task. Prestimulus neural activity (i.e., the initial condition) predicted poststimulus neural trajectories, covaried with RT and the outcome of the previous trial, but not with choice. Poststimulus dynamics depended on both the sensory evidence and initial condition, with easier stimuli and fast initial conditions leading to the fastest choice-related dynamics. Together, these results suggest that initial conditions combine with sensory evidence to induce decision-related dynamics in PMd. |
| first_indexed | 2024-03-10T17:30:57Z |
| format | Article |
| id | doaj.art-b4e54ad170e44424b21e93990519f0f5 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-10T17:30:57Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-b4e54ad170e44424b21e93990519f0f52023-11-20T10:01:22ZengNature PortfolioNature Communications2041-17232023-10-0114112810.1038/s41467-023-41752-2Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortexPierre O. Boucher0Tian Wang1Laura Carceroni2Gary Kane3Krishna V. Shenoy4Chandramouli Chandrasekaran5Department of Biomedical Engineering, Boston UniversityDepartment of Biomedical Engineering, Boston UniversityUndergraduate Program in Neuroscience, Boston UniversityDepartment of Psychological and Brain Sciences, Boston UniversityDepartment of Electrical Engineering, Stanford UniversityDepartment of Biomedical Engineering, Boston UniversityAbstract We used a dynamical systems perspective to understand decision-related neural activity, a fundamentally unresolved problem. This perspective posits that time-varying neural activity is described by a state equation with an initial condition and evolves in time by combining at each time step, recurrent activity and inputs. We hypothesized various dynamical mechanisms of decisions, simulated them in models to derive predictions, and evaluated these predictions by examining firing rates of neurons in the dorsal premotor cortex (PMd) of monkeys performing a perceptual decision-making task. Prestimulus neural activity (i.e., the initial condition) predicted poststimulus neural trajectories, covaried with RT and the outcome of the previous trial, but not with choice. Poststimulus dynamics depended on both the sensory evidence and initial condition, with easier stimuli and fast initial conditions leading to the fastest choice-related dynamics. Together, these results suggest that initial conditions combine with sensory evidence to induce decision-related dynamics in PMd.https://doi.org/10.1038/s41467-023-41752-2 |
| spellingShingle | Pierre O. Boucher Tian Wang Laura Carceroni Gary Kane Krishna V. Shenoy Chandramouli Chandrasekaran Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex Nature Communications |
| title | Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex |
| title_full | Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex |
| title_fullStr | Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex |
| title_full_unstemmed | Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex |
| title_short | Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex |
| title_sort | initial conditions combine with sensory evidence to induce decision related dynamics in premotor cortex |
| url | https://doi.org/10.1038/s41467-023-41752-2 |
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