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:10.1016/j.conb.2019.04.005

Connectal coding: discovering the structures linking cognitive phenotypes to individual histories

Curr Opin Neurobiol. 2019 Apr:55:199-212. doi: 10.1016/j.conb.2019.04.005. Epub 2019 May 15.

Authors

Joshua T Vogelstein¹, Eric W Bridgeford², Benjamin D Pedigo², Jaewon Chung², Keith Levin³, Brett Mensh⁴, Carey E Priebe²

Affiliations

¹ Johns Hopkins University, United States. Electronic address: jovo@jhu.edu.
² Johns Hopkins University, United States.
³ University of Michigan, United States.
⁴ Janelia Research Campus, United States.

PMID: 31102987
DOI: 10.1016/j.conb.2019.04.005

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.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Review

MeSH terms

Brain*
Cognition*
Memory
Phenotype
Phylogeny

Grants and funding

HHMI/Howard Hughes Medical Institute/United States