Literature DB >> 31102987

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

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

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2019        PMID: 31102987     DOI: 10.1016/j.conb.2019.04.005

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  1 in total

1.  Neuronal classification from network connectivity via adjacency spectral embedding.

Authors:  Ketan Mehta; Rebecca F Goldin; David Marchette; Joshua T Vogelstein; Carey E Priebe; Giorgio A Ascoli
Journal:  Netw Neurosci       Date:  2021-08-30
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.