Jonathan Cohen

30 papers A* 2B 25Journal 3

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Quantum Model of Arousal and Yerkes Dodson Law. CogSci Jiaqi Huang, Jonathan Cohen, Jerome R. Busemeyer
2025	B	`conf`	AI-enhanced semantic feature norms for 786 concepts. CogSci Siddharth Suresh, Kushin Mukherjee, Tyler Giallanza, Mia Patil, Xizheng Yu, Jonathan Cohen, Timothy T. Rogers
2025	B	`conf`	Understanding Task Representations in Neural Networks via Bayesian Ablation. CogSci Andrew Nam, Declan I. Campbell, Tom Griffiths, Jonathan Cohen, Sarah-Jane Leslie
2024	B	`conf`	A Relational Inductive Bias for Dimensional Abstraction in Neural Networks. CogSci Declan I. Campbell, Jonathan Cohen
2024	B	`conf`	Anxiety symptoms of major depression associated with increased willingness to exert cognitive, but not physical effort. CogSci Laura Bustamante, Deanna M. Barch, Johanne Solis, Temitope Oshinowo, Ivan Grahek, Anna B. Konova, Nathaniel D. Daw, Jonathan Cohen
2024	B	`conf`	Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CogSci Declan I. Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan Cohen, Tom Griffiths
2024	B	`conf`	Learning expectations shape initial cognitive control allocation. CogSci Javier Alejandro Masís, Sebastian Musslick, Jonathan Cohen
2023	B	`conf`	Advances in the Study of Visual and Multisensory Objects. CogSci Aleksandra Mroczko-Wasowicz, Casey O'Callaghan, Jonathan Cohen, Brian J. Scholl, Philip J. Kellman
2023	B	`conf`	Beyond Transformers for Function Learning. CogSci Simon N. Segert, Jonathan Cohen
2023	B	`conf`	Continuous and Discrete Transitions during Task-Switching. CogSci Harrison Ritz, William Wolf, Jonathan Cohen
2023	A*	`conf`	Learning to reason over visual objects. ICLR Shanka Subhra Mondal, Taylor Whittington Webb, Jonathan Cohen
2023	B	`conf`	When to choose: Information seeking in the speed-accuracy tradeoff. CogSci Javier Alejandro Masís, David Melnikoff, Lisa Feldman Barrett, Jonathan Cohen
2022	J	`jnl`	Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang
2022	B	`conf`	Maximum Entropy Function Learning. CogSci Simon N. Segert, Jonathan Cohen
2021	B	`conf`	Modelling the development of counting with memory-augmented neural networks. CogSci Zack Dulberg, Taylor W. Webb, Jonathan Cohen
2021	J	`jnl`	Modelling the development of counting with memory-augmented neural networks. CoRR Zack Dulberg, Taylor W. Webb, Jonathan Cohen
2021	B	`conf`	Regression, encoding, control: an integrated approach to shared representations with distributed coding. CogSci Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen
2020	B	`conf`	A Novel Quantum Approach to the Dynamics of Decision Making. CogSci Lena Rosendahl, Anastasia S. Bizyaeva, Jonathan Cohen
2020	B	`conf`	A memory-augmented neural network model of abstract sequential reasoning. CogSci Ishan Sinha, Jonathan Cohen, Taylor W. Webb
2020	B	`conf`	Determinantal Point Processes for Memory and Structured Inference. CogSci Steven Frankland, Jonathan Cohen
2020	A*	`conf`	Learning Representations that Support Extrapolation. ICML Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2019	B	`conf`	A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2019	B	`conf`	Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2018	B	`conf`	Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity Judgments. CogSci Marius Catalin Iordan, Cameron T. Ellis, Michael Lesnick, Daniel N. Osherson, Jonathan Cohen
2018	B	`conf`	Novel methods for measuring the cost of cognitive control in a patch foraging task and a demand selection task with Stroop. CogSci Laura Bustamante, Augustus Baker, Allison Burton, Amitai Shenhav, Chloe Hoeber, Nathaniel D. Daw, Jonathan Cohen
2017	B	`conf`	Mechanisms of overharvesting in patch foraging. CogSci Gary Kane, Aaron M. Bornstein, Robert Wilson, Amitai Shenhav, Nathaniel D. Daw, Jonathan Cohen
2016	B	`conf`	Boredom, Information-Seeking and Exploration. CogSci Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
2016	B	`conf`	Information-Seeking, Learning and the Marginal Value Theorem: A Normative Approach to Adaptive Exploration. CogSci Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
2011	B	`conf`	Finding neural correlates of drift diffusion processes in EEG oscillations. CogSci Marieke K. van Vugt, Patrick Simen, Jonathan Cohen
1997	J	`jnl`	Online Analysis of Functional MRI Datasets on Parallel Platforms. J. Supercomput. Nigel H. Goddard, Greg Hood, Jonathan Cohen, William F. Eddy, Christopher R. Genovese, Douglas C. Noll, Leigh E. Nystrom