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Creators/Authors contains: "Mitropolsky, Daniel"

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  1. ; ; (, 14th Innovations in Theoretical Computer Science Conference)
    Accepted Manuscript Full Text Available
  2. ; ; (, Transactions of the Association for Computational Linguistics)
    Full Text Available 
  3. ; ; ; ; (, 3rd Natural Logic Meets Machine Learning Workshop)
    Accepted Manuscript Full Text Available
  4. ; ; ; ; (, Thirty-Sixth AAAI Conference on Artificial Intelligence)
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  5. ; ; ; ; (, Proceedings of the National Academy of Sciences of the United States of America)
    null (Ed.)
    Our expanding understanding of the brain at the level of neurons and synapses, and the level of cognitive phenomena such as language, leaves a formidable gap between these two scales. Here we introduce a computational system which promises to bridge this gap: the Assembly Calculus. It encompasses operations on assemblies of neurons, such as project, associate, and merge, which appear to be implicated in cognitive phenomena, and can be shown, analytically as well as through simulations, to be plausibly realizable at the level of neurons and synapses. We demonstrate the reach of this system by proposing a brain architecture for syntactic processing in the production of language, compatible with recent experimental results. 
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