Jonathan Cohen

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 21

Top Topics

Information Seeking

Point Processes

Structured Representations

Top Venues

Publications

Harrison Ritz, William Wolf, Jonathan Cohen
Continuous and Discrete Transitions during Task-Switching. CogSci (2023)
Simon N. Segert, Jonathan Cohen
Beyond Transformers for Function Learning. CogSci (2023)
Aleksandra Mroczko-Wasowicz, Casey O'Callaghan, Jonathan Cohen, Brian J. Scholl, Philip J. Kellman
Advances in the Study of Visual and Multisensory Objects. CogSci (2023)
Javier Alejandro Masís, David Melnikoff, Lisa Feldman Barrett, Jonathan Cohen
When to choose: Information seeking in the speed-accuracy tradeoff. CogSci (2023)
Shanka Subhra Mondal, Taylor Whittington Webb, Jonathan Cohen
Learning to reason over visual objects. ICLR (2023)
Simon N. Segert, Jonathan Cohen
Maximum Entropy Function Learning. CogSci (2022)
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
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43 (1) (2022)
Zack Dulberg, Taylor W. Webb, Jonathan Cohen
Modelling the development of counting with memory-augmented neural networks. CoRR (2021)
Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen
Regression, encoding, control: an integrated approach to shared representations with distributed coding. CogSci (2021)
Zack Dulberg, Taylor W. Webb, Jonathan Cohen
Modelling the development of counting with memory-augmented neural networks. CogSci (2021)
Ishan Sinha, Jonathan Cohen, Taylor W. Webb
A memory-augmented neural network model of abstract sequential reasoning. CogSci (2020)
Steven Frankland, Jonathan Cohen
Determinantal Point Processes for Memory and Structured Inference. CogSci (2020)
Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
Learning Representations that Support Extrapolation. ICML (2020)
Lena Rosendahl, Anastasia S. Bizyaeva, Jonathan Cohen
A Novel Quantum Approach to the Dynamics of Decision Making. CogSci (2020)
Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci (2019)
Taylor W. Webb, Steven Frankland, Simon Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci (2019)
Marius Catalin Iordan, Cameron T. Ellis, Michael Lesnick, Daniel N. Osherson, Jonathan Cohen
Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity Judgments. CogSci (2018)
Laura Bustamante, Augustus Baker, Allison Burton, Amitai Shenhav, Chloe Hoeber, Nathaniel D. Daw, Jonathan Cohen
Novel methods for measuring the cost of cognitive control in a patch foraging task and a demand selection task with Stroop. CogSci (2018)
Gary Kane, Aaron M. Bornstein, Robert Wilson, Amitai Shenhav, Nathaniel D. Daw, Jonathan Cohen
Mechanisms of overharvesting in patch foraging. CogSci (2017)
Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
Boredom, Information-Seeking and Exploration. CogSci (2016)
Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
Information-Seeking, Learning and the Marginal Value Theorem: A Normative Approach to Adaptive Exploration. CogSci (2016)
Marieke K. van Vugt, Patrick Simen, Jonathan Cohen
Finding neural correlates of drift diffusion processes in EEG oscillations. CogSci (2011)
Nigel H. Goddard, Greg Hood, Jonathan Cohen, William F. Eddy, Christopher R. Genovese, Douglas C. Noll, Leigh E. Nystrom
Online Analysis of Functional MRI Datasets on Parallel Platforms. J. Supercomput. 11 (3) (1997)