Towards a mathematical theory of cortical micro-circuits von George, Dileep, Hawkins, Jeff

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Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps von George, Dileep, Rikhye, Rajeev V., Gothoskar, Nishad, Guntupalli, J. Swaroop, Dedieu, Antoine, Lázaro-Gredilla, Miguel

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Sequence memory for prediction, inference and behaviour von Hawkins, Jeff, George, Dileep, Niemasik, Jamie

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From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence von George, Dileep, Lázaro-Gredilla, Miguel, Guntupalli, J Swaroop

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What can the brain teach us about building artificial intelligence? von George, Dileep

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A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs von George, Dileep, Lehrach, Wolfgang, Kansky, Ken, Lázaro-Gredilla, Miguel, Laan, Christopher, Marthi, Bhaskara, Lou, Xinghua, Meng, Zhaoshi, Liu, Yi, Wang, Huayan, Lavin, Alex, Phoenix, D. Scott

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Neuroscience Needs Network Science von Barabási, Dániel L, Bianconi, Ginestra, Bullmore, Ed, Burgess, Mark, Chung, SueYeon, Eliassi-Rad, Tina, George, Dileep, Kovács, István A, Makse, Hernán, Nichols, Thomas E, Papadimitriou, Christos, Sporns, Olaf, Stachenfeld, Kim, Toroczkai, Zoltán, Towlson, Emma K, Zador, Anthony M, Zeng, Hongkui, Barabási, Albert-László, Bernard, Amy, Buzsáki, György

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Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs von Lázaro-Gredilla, Miguel, Lin, Dianhuan, Guntupalli, J Swaroop, George, Dileep

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Space is a latent sequence: A theory of the hippocampus von Raju, Rajkumar Vasudeva, Guntupalli, J Swaroop, Zhou, Guangyao, Wendelken, Carter, Lázaro-Gredilla, Miguel, George, Dileep

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Towards a Mathematical Theory of Cortical Micro-circuits: e1000532 von George, Dileep, Hawkins, Jeff

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What can the brain teach us about building artificial intelligence? von George, Dileep

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How to make computers that work like the brain von George, Dileep

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Perturb-and-max-product: Sampling and learning in discrete energy-based models von Lazaro-Gredilla, Miguel, Dedieu, Antoine, George, Dileep

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Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation von Dedieu, Antoine, Zhou, Guangyao, George, Dileep, Lazaro-Gredilla, Miguel

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What type of inference is planning? von Lázaro-Gredilla, Miguel, Ku, Li Yang, Murphy, Kevin P, George, Dileep

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Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models von Dedieu, Antoine, Lázaro-Gredilla, Miguel, George, Dileep

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Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments von Dedieu, Antoine, Lehrach, Wolfgang, Zhou, Guangyao, George, Dileep, Lázaro-Gredilla, Miguel

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From proprioception to long-horizon planning in novel environments: A hierarchical RL model von Gothoskar, Nishad, Lázaro-Gredilla, Miguel, George, Dileep

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Schema-learning and rebinding as mechanisms of in-context learning and emergence von Swaminathan, Sivaramakrishnan, Dedieu, Antoine, Raju, Rajkumar Vasudeva, Shanahan, Murray, Lazaro-Gredilla, Miguel, George, Dileep

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Learning undirected models via query training von Lazaro-Gredilla, Miguel, Lehrach, Wolfgang, George, Dileep

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