Work

Application of a computational decision model to examine acute drug effects on human risk taking.

Year: 2006

Type: article

Source: Experimental and Clinical Psychopharmacology

DOI: 10.1037/1064-1297.14.2.254

Authors: Scott D. Lane, Eldad Yechiam, Jerome R. Busemeyer

Institutions: The University of Texas Health Science Center at Houston, Technion – Israel Institute of Technology, Indiana University Bloomington, Indiana University

Language: English

Topic: Decision-Making and Behavioral Economics

Subfield: General Decision Sciences

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Institute on Drug Abuse

Awards: G2619043661, G4167728105, Cognitive Modeling of Risky Decisions in Drug Abusers, G734456313, Mechanisms in Risk Taking: Disinhibitory Drugs of Abuse, G858426476

OpenAlex ID: W2007653890

FWCI: 1.871

Cites: 62

Cited by: 39

Related to: 10