Michael Frank

Full Professor, Brown University

Joined

July 2019

Names

Michael Frank

Michael J Frank

Michael Joshua Frank

Michael J. Frank

Emails

****@brown.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Brown University (brown.edu)

2016 – Present

Advisors, Relations & Conflicts

PhD Advisor

Randy O'Reilly

2000 – 2004

Expertise

sequential sampling models

likelihood-free inference

2013 – Present

reinforcement learning

dopamine

basal ganglia

2000 – Present

cognitive control

prefrontal cortex

generalization

flexibility

2000 – Present

Publications

Reward-predictive representations generalize across tasks in reinforcement learning
Lucas Lehnert, Michael Littman, Michael Frank
- OpenReview Archive Direct Upload
- Readers: Everyone
Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks
Aneri Soni, Aaron Traylor, Jack Merullo, Michael Frank, Ellie Pavlick
- Submitted to ICLR 2025
- Readers: Everyone
The neural scaling laws for phenotypic drug discovery
Drew Linsley, John Griffin, Jason Parker Brown, Adam N Roose, Michael Frank, Steven Finkbeiner, Peter S Linsley, Jeremy William Linsley
- AI4D3 2023 Poster
- Readers: Everyone
Neural scaling laws for phenotypic drug discovery
Drew Linsley, John Griffin, Jason Parker Brown, Adam N Roose, Michael Frank, Peter S Linsley, Jeremy William Linsley
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience
Alexander Fengler, Lakshmi Narasimhan Govindarajan, Tony Chen, Michael Frank
- 16 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning
Lakshmi Narasimhan Govindarajan, Rex G Liu, Drew Linsley, Alekh Karkada Ashok, Max Reuter, Michael Frank, Thomas Serre
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM
Alexander Fengler, Krishn Bera, Mads L. Pedersen, Michael J. Frank
- 2022 (modified: 03 Apr 2023)
- J. Cogn. Neurosci. 2022
- Readers: Everyone
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning
Rex G. Liu, Michael J. Frank
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- Artif. Intell. 2022
- Readers: Everyone
Reward-Predictive Clustering
Lucas Lehnert, Michael J. Frank, Michael L. Littman
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits
Cristian Buc Calderon, Tom Verguts, Michael J. Frank
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- PLoS Comput. Biol. 2022
- Readers: Everyone

View all 31 publications

Co-Authors

View all 65 co-authors