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Connectal Coding: Discovering the Structures Linking Cognitive Phenotypes to Individual Histories

Joshua T. Vogelstein, Eric W. Bridgeford, Benjamin D. Pedigo, Jaewon Chung, Keith Levin, Brett Mensh, Carey E. Priebe
doi: https://doi.org/10.1101/610501
Joshua T. Vogelstein
1Johns Hopkins University
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  • For correspondence: jovo@jhu.edu
Eric W. Bridgeford
1Johns Hopkins University
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Benjamin D. Pedigo
1Johns Hopkins University
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Jaewon Chung
1Johns Hopkins University
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Keith Levin
2University of Michigan
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Brett Mensh
3Janelia Research Campus
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Carey E. Priebe
1Johns Hopkins University
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Abstract

Cognitive phenotypes characterize our memories, beliefs, skills, and preferences, and arise from our ancestral, developmental, and experiential histories. These histories are written into our brain structure through the building and modification of various brain circuits. Connectal coding, by way of analogy with neural coding, is the art, study, and practice of identifying the network structures that link cognitive phenomena to individual histories. We propose a formal statistical framework for connectal coding and demonstrate its utility in several applications spanning experimental modalities and phylogeny.

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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 4.0 International license.
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Posted April 26, 2019.
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Connectal Coding: Discovering the Structures Linking Cognitive Phenotypes to Individual Histories
Joshua T. Vogelstein, Eric W. Bridgeford, Benjamin D. Pedigo, Jaewon Chung, Keith Levin, Brett Mensh, Carey E. Priebe
bioRxiv 610501; doi: https://doi.org/10.1101/610501
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Connectal Coding: Discovering the Structures Linking Cognitive Phenotypes to Individual Histories
Joshua T. Vogelstein, Eric W. Bridgeford, Benjamin D. Pedigo, Jaewon Chung, Keith Levin, Brett Mensh, Carey E. Priebe
bioRxiv 610501; doi: https://doi.org/10.1101/610501

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