Multisensory Statisical and Reinforcement Learning

This project uses a model-informed cognitive neuroscience (fMRI) approach to investigate audio-visual and tactile-visual multisensory statistical and reinforcement learning in adults and children. The source code is a release from the repository CBC https://github.com/ChildBrainCircuits/CBC/tree/main/MSL_SL_RL_publication.

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/desz2
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
0.00
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article

Multisensory Statisical and Reinforcement Learning

OSF Preprints (OSF Preprints)
Multisensory perception and integration
article

Multisensory Statisical and Reinforcement Learning

article en

Abstract

This project uses a model-informed cognitive neuroscience (fMRI) approach to investigate audio-visual and tactile-visual multisensory statistical and reinforcement learning in adults and children. The source code is a release from the repository CBC https://github.com/ChildBrainCircuits/CBC/tree/main/MSL_SL_RL_publication.

OSF Preprints (OSF Preprints)
Quality Education
Openalex Percentile: Top 55%
Multisensory perception and integration
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Multisensory Statisical and Reinforcement Learning · OSF Preprints (OSF Preprints) (2025) | TGRS Research Map | TGRS