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; Batchelor, Hannah M; Liu, Bing et al. (2017) Dopamine Neurons Respond to Errors in the Prediction of Sensory Features of Expected Rewards. Neuron 95:1395-1405.e3
Nasser, Helen M; Calu, Donna J; Schoenbaum, Geoffrey et al. (2017) The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning. Front Psychol 8:244
Sharpe, Melissa J; Marchant, Nathan J; Whitaker, Leslie R et al. (2017) Lateral Hypothalamic GABAergic Neurons Encode Reward Predictions that Are Relayed to the Ventral Tegmental Area to Regulate Learning. Curr Biol 27:2089-2100.e5
Sharpe, Melissa J; Chang, Chun Yun; Liu, Melissa A et al. (2017) Dopamine transients are sufficient and necessary for acquisition of model-based associations. Nat Neurosci 20:735-742
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

Showing the most recent 10 out of 66 publications