Michael J. Frank

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Hierarchical Clustering

Reinforcement Learning

Neural Architectures

Diffusion Models

Top Venues

PLoS Comput. Biol.

Publications

Aaron Traylor, Jack Merullo, Michael J. Frank, Ellie Pavlick
Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks. CoRR (2024)
Jacob Russin, Ellie Pavlick, Michael J. Frank
Human Curriculum Effects Emerge with In-Context Learning in Neural Networks. CoRR (2024)
Drew Linsley, John Griffin, Jason Parker Brown, Adam N. Roose, Michael J. Frank, Peter Linsley, Steven Finkbeiner, Jeremy Linsley
Neural scaling laws for phenotypic drug discovery. CoRR (2023)
Lakshmi Narasimhan Govindarajan, Rex G. Liu, Drew Linsley, Alekh Karkada Ashok, Max Reuter, Michael J. Frank, Thomas Serre
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning. CoRR (2023)
Cristian Buc Calderon, Tom Verguts, Michael J. Frank
Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits. PLoS Comput. Biol. 18 (2) (2022)
Alexander Fengler, Krishn Bera, Mads L. Pedersen, Michael J. Frank
Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM. J. Cogn. Neurosci. 34 (10) (2022)
Lucas Lehnert, Michael J. Frank, Michael L. Littman
Reward-Predictive Clustering. CoRR (2022)
Rex G. Liu, Michael J. Frank
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning. Artif. Intell. 312 (2022)
Mads L. Pedersen, Maria Ironside, Ken-ichi Amemori, Callie L. McGrath, Min S. Kang, Ann M. Graybiel, Diego A. Pizzagalli, Michael J. Frank
Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. PLoS Comput. Biol. 17 (5) (2021)
Rachel Rac-Lubashevsky, Michael J. Frank
Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence. PLoS Comput. Biol. 17 (6) (2021)
Lucas Lehnert, Michael L. Littman, Michael J. Frank
Reward-predictive representations generalize across tasks in reinforcement learning. PLoS Comput. Biol. 16 (10) (2020)
Alexander Fengler, Lakshmi Narasimhan Govindarajan, Michael J. Frank
Encoder-Decoder Neural Architectures for Fast Amortized Inference of Cognitive Process Models. CogSci (2020)
Nicholas T. Franklin, Michael J. Frank
Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. PLoS Comput. Biol. 16 (4) (2020)
Payam Piray, Amir Dezfouli, Tom Heskes, Michael J. Frank, Nathaniel D. Daw
Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. PLoS Comput. Biol. 15 (6) (2019)