We combine computational and circuit-level neuroscience to understand reinforcement learning and plasticity, identifying novel prediction error mechanisms that disrupt maladaptive behavior in psychiatric diseases.

ongoing projects

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Decision-Making and Reinforcement Learning: We investigate the limbic cortico-striatal circuitry that underlies flexible, habitual, and model-based/model-free reinforcement learning, as well as inhibitory control. We employ computational modeling and machine learning to dissect distinct mechanisms that result in individual differences in decision-making and relate these to vulnerability to addiction and psychosis.

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Addiction and Memory Plasticity: We focus on the persistent neuroadaptations associated with substance use disorders and alcoholism. A key area involves manipulating prediction errors to enhance memory destabilization and reconsolidation, with the aim of reducing drug-seeking behavior and destabilizing cue-drug memories. We are interested in memory plasticity processes (destabilization and restabilization) that are involved in memory reconsolidation, which allows new information to be integrated into memory and cognition.

Diagram showing a negative prediction error related to brain activity, with a chart icon and illustration of brain regions, labeled elements, and a red 'Error' bar.

Novel Therapeutics: We explore the effects of compounds like psychedelics and entactogens on animal models of addictions, depression, learning, motivation, and decision-making processes. Together, we attempt to understand neurotrophin/glutamatergic/dopaminergic signaling molecules/alterations in limbic cortico-striatal function relevant to stress, addictions/alcohol, learning and memory processes and vulnerability to psychiatric dysfunction.

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investigating prosocial decision-making

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social neurocircuitry and psychiatry

Led by Will Li and Henry Kietzman, a dedicated theme of our research focuses on the neural circuits driving social decision-making, particularly cooperation, competition, and the factors that bias an agent towards self-directed and prosocial strategies.

  • Cooperation Assay: We utilize a novel, semi-naturalistic rodent cooperation assay (a paired decision-making task) to model the appraisal and coordination of actions required for mutual reward. This allows us to dissect the neural basis of social cooperation and the lasting structural and functional changes it induces.

  • Circuit Plasticity and Dynamics: We investigate how repeated social cooperation drives plasticity, finding lasting structural change (e.g., increased synaptic density in the insula and amygdala) and revealing opposing roles in corticolimbic populations.

  • Early Life Adversity and Intervention: A major focus is on the impact of ELA on socio-behavioral dysfunction. We use our novel paired assay to identify ELA-specific deficits and to probe whether behavioral and pharmacological interventions, including entactogens, are sufficient to restore cooperative function, aiming to ameliorate downstream socio-behavioral challenges.

selected publications

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