Abstract

Addiction and other neuropsychiatric diseases involve altered learning and decision-making. The mechanism of these alterations, the circuits affected, and their significance to behavior are not well understood. We are using an animal models of addiction, associative learning and decisions making to study the neural circuits mediating simple associative learning and decision-making and to identify critical changes that may underlie addiction and other co-morbid neuropsychiatric disorders. It is hoped that by better understanding these changes, we will have better models for intervention.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIADA000587-02
Application #
8736784
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
2
Fiscal Year
2013
Total Cost
$3,128,401
Indirect Cost

  Institution

Name
National Institute on Drug Abuse
Department
Type
DUNS #
City
State
Country
Zip Code

  Publications

Sharpe, Melissa J; Schoenbaum, Geoffrey (2018) Evaluation of the hypothesis that phasic dopamine constitutes a cached-value signal. Neurobiol Learn Mem 153:131-136
Sadacca, Brian F; Wied, Heather M; Lopatina, Nina et al. (2018) Orbitofrontal neurons signal sensory associations underlying model-based inference in a sensory preconditioning task. Elife 7:
Stalnaker, Thomas A; Liu, Tzu-Lan; Takahashi, Yuji K et al. (2018) Orbitofrontal neurons signal reward predictions, not reward prediction errors. Neurobiol Learn Mem 153:137-143
Sharpe, Melissa J; Chang, Chun Yun; Liu, Melissa A et al. (2018) Author Correction: Dopamine transients are sufficient and necessary for acquisition of model-based associations. Nat Neurosci :
Langdon, Angela J; Sharpe, Melissa J; Schoenbaum, Geoffrey et al. (2018) Model-based predictions for dopamine. Curr Opin Neurobiol 49:1-7
Takahashi, Yuji K; Stalnaker, Thomas A; Roesch, Matthew R et al. (2017) Effects of inference on dopaminergic prediction errors depend on orbitofrontal processing. Behav Neurosci 131:127-34
Langdon, Angela J; Wikenheiser, Andrew M; Schoenbaum, Geoffrey (2017) Rat mPFC and M2 Play a Waiting Game (at Different Timescales). Neuron 94:700-702
Gardner, Matthew P H; Conroy, Jessica S; Shaham, Michael H et al. (2017) Lateral Orbitofrontal Inactivation Dissociates Devaluation-Sensitive Behavior and Economic Choice. Neuron 96:1192-1203.e4
Sadacca, Brian F; Wikenheiser, Andrew M; Schoenbaum, Geoffrey (2017) Toward a theoretical role for tonic norepinephrine in the orbitofrontal cortex in facilitating flexible learning. Neuroscience 345:124-129
Lopatina, Nina; Sadacca, Brian F; McDannald, Michael A et al. (2017) Ensembles in medial and lateral orbitofrontal cortex construct cognitive maps emphasizing different features of the behavioral landscape. Behav Neurosci 131:201-12

Showing the most recent 10 out of 66 publications