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- Learning Perceptual Inference by Contrasting - Universality and individuality in neural dynamics across large populations of recurrent networks - Better Transfer Learning with Inferred Successor Maps - A unified theory for the origin of grid cells through the lens of pattern formation - Infra-slow brain dynamics as a marker for cognitive function and decline- Learning Perceptual Inference by Contrasting - Universality and individuality in neural dynamics across large populations of recurrent networks - Better Transfer Learning with Inferred Successor Maps - A unified theory for the origin of grid cells through the lens of pattern formation - Infra-slow brain dynamics as a marker for cognitive function and decline…
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Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.
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