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  1. Erin S. Calipari (born February 18, 1987) is an Associate Professor of Pharmacology at the Vanderbilt University School of Medicine Basic Sciences. Calipari looks to understand the brain circuitry that is used for adaptive and maladaptive processes in reward, associative learning and motivation.

  2. Erin S. Calipari is a director, associate professor and researcher at Vanderbilt University. She studies the neurobiology of addiction, memory and motivation using animal models and human data.

    • 2215 Garland Avenue Nashville, TN, 37232 United States
    • erin.calipari@vanderbilt.edu
    • (859) 797-5465
  3. Erin Calipari is an associate professor and director of the Vanderbilt Center for Addiction Research. Her lab studies the neural circuits and molecular mechanisms of reward, motivation, and associative learning in psychiatric disorders.

  4. Erin Calipari is a principal investigator and director of the Vanderbilt Center for Addiction Research. She studies the neural circuits and mechanisms of reward, motivation, and learning using electrophysiology, optogenetics, and voltammetry.

    • 2215 Garland Avenue Nashville, TN, 37232 United States
    • erin.calipari@vanderbilt.edu
    • (859) 797-5465
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  5. Associate Professor of Psychiatry and Behavioral Sciences. 865F Light Hall. 2215 Garland Avenue. Nashville. Tennessee. 37232. erin.calipari@vanderbilt.edu. More Information. https://wag.app.vanderbilt.edu/PublicPage/Faculty/Details/44027. Dopamine, Cocaine, Drug Addiction, Motivation, Calcium Imaging, Optogentics. Research Information.

  6. Erin Calipari, Vanderbilt University Assistant Professor of Pharmacology provides an overview of her research which seeks to characterize and modulate the precise circuits in the brain that underlie both adaptive and maladaptive processes in reward, motivation, and associative learning, to develop improved treatments for complex and devastating ...

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  8. Erin Calipari is a neuroscientist who studies how information is encoded in the brain. She integrates behavioral, circuit, microcircuit, and molecular approaches to understand reward, motivation, and associative learning in health and disease.

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