Michael Frank

Brown University

United States

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Articles (14)

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (9)

Tom Verguts

Ghent University

BELGIUM

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Ann Graybiel

Institute Professor

Massachusetts Institute of Technology

UNITED STATES

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Christopher Moore

Professor

Brown University

UNITED STATES

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Ken-ichi Amemori

特定拠点准教授 / Program-Specific Research Center Associate Professor

Kyoto University

JAPAN

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Huiling Tan

University of Oxford

UNITED KINGDOM

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Nadja Ging-Jehli

Brown University

UNITED STATES

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Lars Schwabe

Universität Hamburg

GERMANY

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matthew nassar

Brown University

UNITED STATES

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Arif Hamid

University of Minnesota

UNITED STATES

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Michael Frank

Research Interests

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Articles (14)

Correction: Statistical context dictates the relationship between feedback-related EEG signals and learning

Subthalamic control of impulsive actions: insights from deep brain stimulation in Parkinson’s disease

Cognitive signatures of depressive and anhedonic symptoms, and affective states, using computational modeling and neurocognitive testing

Is human compositionality meta-learned?

Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load

On the normative advantages of dopamine and striatal opponency for learning and choice

Adaptive control of synaptic plasticity integrates micro- and macroscopic network function

Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning

Biophysical and Architectural Mechanisms of Subthalamic Theta under Response Conflict

Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits

Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment

Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence

Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder

Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience

Collaborators (9)

Tom Verguts

Ann Graybiel

Christopher Moore

Ken-ichi Amemori

Huiling Tan

Nadja Ging-Jehli

Lars Schwabe

matthew nassar

Arif Hamid

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