Michael J Frank
Scholar

Michael J Frank

Google Scholar ID: f-xyFpUAAAAJ
Professor, Director Center for Computational Brain Science, Brown University
Computational PsychiatryDopamineDecision NeuroscienceComputational Neuroscience
Citations & Impact
All-time
Citations
22,364
 
H-index
76
 
i10-index
203
 
Publications
20
 
Co-authors
17
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Has numerous publications and maintains a Google Scholar profile; developed software tools such as basal ganglia neural network models, HSSM, HDDM, and various scripts for quantitative simulations/fits using algorithmic reinforcement learning models.
Research Experience
  • Leads the Laboratory of Neural Computation and Cognition where he develops neural circuit and algorithmic models that simulate systems-level interactions between multiple brain areas, primarily prefrontal cortex and basal ganglia, and their modulation by dopamine.
Education
  • PhD in Neuroscience and Psychology from the University of Colorado at Boulder; MS in Electrical and Computer Engineering (Biomedicine option) from the University of Colorado at Boulder; B.Sc in Electrical Engineering from Queen's University, Canada.
Background
  • Professor of Cognitive and Psychological Sciences at Brown University, Director of the Carney Center for Computational Brain Science. His research combines multiple levels of computational modeling and experimental work to understand the neural mechanisms underlying reinforcement learning, decision making, and cognitive control.
Miscellany
  • Teaches courses including: Mechanisms of Motivated Decision Making, Computational Cognitive Neuroscience, and has taught other related seminars and courses.