| Literature DB >> 33206139 |
Philip R Corlett1, Geoffrey Schoenbaum2.
Abstract
Importance: The tools and insights of behavioral neuroscience grow apace, yet their clinical application is lagging. Observations: This article suggests that associative learning theory may be the algorithmic bridge to connect a burgeoning understanding of the brain with the challenges to the mind with which all clinicians and researchers are concerned. Conclusions and Relevance: Instead of giving up, talking past one another, or resting on the laurels of face validity, a consilient and collaborative approach is suggested: visiting laboratory meetings and clinical rounds and attempting to converse in the language of behavior and cognition to better understand and ultimately treat patients.Entities:
Mesh:
Year: 2021 PMID: 33206139 PMCID: PMC9334882 DOI: 10.1001/jamapsychiatry.2020.3656
Source DB: PubMed Journal: JAMA Psychiatry ISSN: 2168-622X Impact factor: 25.911