Computational Brain & Behavior

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Top Publications

• Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data

  Mads Lund Pedersen;Mads Lund Pedersen;Michael J. Frank

  (2020)
  46 Citations

• Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure

  Been Kim;Emily Reif;Martin Wattenberg;Samy Bengio

  (2021)
  46 Citations

• Measures of Neural Similarity

  S. Bobadilla-Suarez;C. Ahlheim;C. Ahlheim;A. Mehrotra;A. Panos

  (2020)
  45 Citations

• AI-Assisted Decision-making: a Cognitive Modeling Approach to Infer Latent Reliance Strategies

  (2022)
  30 Citations

• Pragmatic Inference and Visual Abstraction Enable Contextual Flexibility During Visual Communication

  Judith W. Fan;Robert X. D. Hawkins;Mike Wu;Noah D. Goodman

  (2020)
  25 Citations

• Statistics in the Service of Science: Don’t Let the Tail Wag the Dog

  (2022)
  21 Citations

• Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates

  Maarten van der Velde;Florian Sense;Jelmer Borst;Hedderik van Rijn

  (2021)
  21 Citations

• Hierarchical Reinforcement Learning Explains Task Interleaving Behavior

  Christoph Gebhardt;Antti Oulasvirta;Otmar Hilliges

  (2021)
  20 Citations

• Timing of readiness potentials reflect a decision-making process in the human brain.

  Kitty K. Lui;Michael D. Nunez;Jessica M. Cassidy;Jessica M. Cassidy;Joachim Vandekerckhove

  (2021)
  19 Citations

• Inference and Search on Graph-Structured Spaces

  Charley M. Wu;Charley M. Wu;Charley M. Wu;Eric Schulz;Samuel J. Gershman

  (2021)
  19 Citations