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Computational Brain & Behavior|December 26, 2024
Lessons for Theory from Scientific Domains Where Evidence is Sparse or IndirectMarieke Woensdregt, Riccardo Fusaroli, Patricia Rich, et al.Computational Brain & Behavior|May 27, 2024
Of Rodents and Primates: Time-Variant Gain in Drift-Diffusion Decision ModelsAbdoreza Asadpour, Hui Tan, Brendan Lenfesty, et al.Computational Brain & Behavior|December 6, 2021
How Do People Generalize Causal Relations over Objects? A Non-parametric Bayesian AccountBonan Zhao, Christopher G Lucas, Neil R BramleyComputational Brain & Behavior|June 21, 2021
Modulation of Dopamine for Adaptive Learning: A Neurocomputational ModelJeffrey B Inglis, Vivian V Valentin, F Gregory AshbyComputational Brain & Behavior|June 11, 2019
Estimating semantic networks of groups and individuals from fluency dataJeffrey C Zemla, Joseph L AusterweilComputational Brain & Behavior|January 1, 2019
Planning Your Route: Where to Start?Lahari Sengupta, Radu Mariescu-Istodor, Pasi FräntiComputational Brain & Behavior|April 2, 2026
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural NetworksYuyan Zhang, Derya Soydaner, Lisa Koßmann, et al.Computational Brain & Behavior|June 11, 2026
Are Semantic Representations Stable? A Bayesian Framework Applied to the Study of Quantifier MeaningAlexandra Sarafoglou, Anne S F Giacobello, Henrik R Godmann, et al.Computational Brain & Behavior|July 16, 2026
Bridging Computation and Representation in Associative LearningSamuel J GershmanComputational Brain & Behavior|July 16, 2026
State Optimism as a State-Dependent Prior About Rewarding OutcomesKanji Shimomura, Kenji MoritaPageof 11