Institute for Computer Science and Campus Institute for Data Science, University of Göttingen, Göttingen, Germany; Center for Neuroscience and Artiﬁcial Intelligence, Department of Neuroscience, Baylor College of Medicine, Houston, USA; Center for Neuroscience and Artiﬁcial Intelligence, Department of Neuroscience, Baylor College of Medicine, Houston, USA; Department of Physiology and Biophysics, and Computational Neuroscience Center, University of Washington, Seattle, USA; Institute for Computer Science and Campus Institute for Data Science, University of Göttingen, Göttingen, Germany; Department of Psychiatry, Columbia University, New York City, USA
Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George Denfield, Andreas Tolias, Edgar Walker, Fabian Sinz
Neural Sampling Code;Probabilistic Inference;Bayesian Brain;Macaque V1;Natural Images;Population Recordings;Normalizing Flows;Probabilistic Models;Computational Neuroscience;Theoretical Neuroscience
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system