Michael J. Frank

22 papers B 7Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient inference in first passage time models. Stat. Comput. Sicheng Liu, Alexander Fengler, Michael J. Frank, Matthew T. Harrison
2025	B	`conf`	Fast and robust Bayesian inference for modular combinations of dynamic learning and decision models. CogSci Krishn Bera, Alexander Fengler, Michael J. Frank
2025	B	`conf`	Learning imposes a bottleneck beyond anatomical constraints: a computational investigation into the nature of WM capacity limits. CogSci Aalok Sathe, Ellie Pavlick, Michael J. Frank
2025	J	`jnl`	Many roads to minimizing regret: A comparison of Wang et al (2024) and OpAL* models of adaptive striatal dopamine. PLoS Comput. Biol. Joshua T. S. Hewson, Alana Jaskir, Michael J. Frank
2025	B	`conf`	Step-by-step analogical reasoning in humans and neural networks. CogSci Jacob Russin, Joonhwa Kim, Ellie Pavlick, Michael J. Frank
2024	B	`conf`	Human Curriculum Effects Emerge with In-Context Learning in Neural Networks. CogSci Jacob Russin, Ellie Pavlick, Michael J. Frank
2024	J	`jnl`	Human Curriculum Effects Emerge with In-Context Learning in Neural Networks. CoRR Jacob Russin, Ellie Pavlick, Michael J. Frank
2024	B	`conf`	The Perils of Omitting Omissions when Modeling Evidence Accumulation. CogSci Xiamin Leng, Alexander Fengler, Amitai Shenhav, Michael J. Frank
2024	B	`conf`	Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks. CogSci Aaron Traylor, Jack Merullo, Michael J. Frank, Ellie Pavlick
2024	J	`jnl`	Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks. CoRR Aaron Traylor, Jack Merullo, Michael J. Frank, Ellie Pavlick
2023	J	`jnl`	Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning. CoRR Lakshmi Narasimhan Govindarajan, Rex G. Liu, Drew Linsley, Alekh Karkada Ashok, Max Reuter, Michael J. Frank, Thomas Serre
2023	J	`jnl`	Neural scaling laws for phenotypic drug discovery. CoRR Drew Linsley, John Griffin, Jason Parker Brown, Adam N. Roose, Michael J. Frank, Peter Linsley, Steven Finkbeiner, Jeremy Linsley
2022	J	`jnl`	Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM. J. Cogn. Neurosci. Alexander Fengler, Krishn Bera, Mads L. Pedersen, Michael J. Frank
2022	J	`jnl`	Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning. Artif. Intell. Rex G. Liu, Michael J. Frank
2022	J	`jnl`	Reward-Predictive Clustering. CoRR Lucas Lehnert, Michael J. Frank, Michael L. Littman
2022	J	`jnl`	Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits. PLoS Comput. Biol. Cristian Buc Calderon, Tom Verguts, Michael J. Frank
2021	J	`jnl`	Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence. PLoS Comput. Biol. Rachel Rac-Lubashevsky, Michael J. Frank
2021	J	`jnl`	Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. PLoS Comput. Biol. Mads L. Pedersen, Maria Ironside, Ken-ichi Amemori, Callie L. McGrath, Min S. Kang, Ann M. Graybiel, Diego A. Pizzagalli, Michael J. Frank
2020	B	`conf`	Encoder-Decoder Neural Architectures for Fast Amortized Inference of Cognitive Process Models. CogSci Alexander Fengler, Lakshmi Narasimhan Govindarajan, Michael J. Frank
2020	J	`jnl`	Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. PLoS Comput. Biol. Nicholas T. Franklin, Michael J. Frank
2020	J	`jnl`	Reward-predictive representations generalize across tasks in reinforcement learning. PLoS Comput. Biol. Lucas Lehnert, Michael L. Littman, Michael J. Frank
2019	J	`jnl`	Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies. PLoS Comput. Biol. Payam Piray, Amir Dezfouli, Tom Heskes, Michael J. Frank, Nathaniel D. Daw