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The Behavioral and Brain Sciences|December 6, 2023
Statistical prediction alone cannot identify good models of behaviorNisheeth Srivastava, Anjali Sifar, Narayanan SrinivasanThe Behavioral and Brain Sciences|December 6, 2023
Models of vision need some actionConstantin Rothkopf, Frank Bremmer, Katja Fiehler, et al.The Behavioral and Brain Sciences|December 6, 2023
Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human visionJames J DiCarlo, Daniel L K Yamins, Michael E Ferguson, et al.The Behavioral and Brain Sciences|December 6, 2023
Neither hype nor gloom do DNNs justiceFelix A Wichmann, Simon Kornblith, Robert GeirhosThe Behavioral and Brain Sciences|December 6, 2023
Beyond the limitations of any imaginable mechanism: Large language models and psycholinguisticsConor Houghton, Nina Kazanina, Priyanka SukumaranThe Behavioral and Brain Sciences|December 6, 2023
Implications of capacity-limited, generative models for human visionJoseph Scott German, Robert A JacobsThe Behavioral and Brain Sciences|December 6, 2023
Fixing the problems of deep neural networks will require better training data and learning algorithmsDrew Linsley, Thomas SerreThe Behavioral and Brain Sciences|December 6, 2023
The scientific value of explanation and predictionHause LinThe Behavioral and Brain Sciences|December 6, 2023
Perceptual learning in humans: An active, top-down-guided processHeleen A SlagterThe Behavioral and Brain Sciences|November 14, 2023
Deconstructing spontaneous expressions of memory in dementiaMuireann IrishPageof 443