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Similarities and differences in spatial and non-spatial cognitive maps

View ORCID ProfileCharley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
doi: https://doi.org/10.1101/2020.01.21.914556
Charley M. Wu
Department of Psychology, Harvard University, Cambridge, MA, USACenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
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  • ORCID record for Charley M. Wu
  • For correspondence: charleywu@fas.harvard.edu
Eric Schulz
Max Planck Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
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Mona M. Garvert
Department of Psychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, GermanyMax Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, GermanyWellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford, UK
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Björn Meder
Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, GermanyMax Planck Research Group iSearch, Max Planck Institute for Human Development, Berlin, GermanyDepartment of Psychology, University of Erfurt, Erfurt, Germany
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Nicolas W. Schuck
Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, Germany
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Abstract

There is a resurgence of interest in “cognitive maps” based on recent evidence that the hippocampal-entorhinal system encodes both spatial and non-spatial information, with far-reaching implications for human behavior. Yet little is known about the commonalities and differences in the computational principles underlying human learning and decision making in spatial and non-spatial domains. We use a within-subject design to examine how humans search for either spatially or conceptually correlated rewards. Using a Bayesian learning model, we find evidence for the same computational mechanisms of generalization across domains. While participants were sensitive to expected rewards and uncertainty in both tasks, how they leveraged this knowledge to guide exploration was different: participants displayed less uncertainty-directed and more random exploration in the conceptual domain. Moreover, experience with the spatial task improved conceptual performance, but not vice versa. These results provide important insights about the degree of overlap between spatial and conceptual cognition.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 23, 2020.
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Similarities and differences in spatial and non-spatial cognitive maps
Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
bioRxiv 2020.01.21.914556; doi: https://doi.org/10.1101/2020.01.21.914556
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Similarities and differences in spatial and non-spatial cognitive maps
Charley M. Wu, Eric Schulz, Mona M. Garvert, Björn Meder, Nicolas W. Schuck
bioRxiv 2020.01.21.914556; doi: https://doi.org/10.1101/2020.01.21.914556

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