Listening to the Data: Computational Approaches to Addiction and Learning

Computational approaches hold great promise for identifying novel treatment targets and creating translational therapeutics for substance use disorders. From circuitries underlying decision-making to computationally derived neural markers of drug-cue reactivity, this review is a summary of the appro...

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Veröffentlicht in:	The Journal of neuroscience 2023-11, Vol.43 (45), p.7547-7553
Hauptverfasser:	Wilkinson, Courtney S, Luján, Miguel Á, Hales, Claire, Costa, Kauê M, Fiore, Vincenzo G, Knackstedt, Lori A, Kober, Hedy
Format:	Artikel
Sprache:	eng
Schlagworte:	Addictions Behavior, Addictive Cognitive ability Decision analysis Decision making Humans Hypotheses Machine Learning Modelling Reviews Risk-Taking Substance use Substance-Related Disorders Symposium and Mini-Symposium
Online-Zugang:	Volltext
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