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Award ID contains: 1763970

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  1. ; ; (, Proceedings of the 24th ACM Conference on Economics and Computation)
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  2. ; (, Games and Economic Behavior)
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  3. ; (, In Proceedings of the 55th ACM Symposium on Theory of Computing (STOC))
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  4. ; ; (, 14th Innovations in Theoretical Computer Science Conference)
    Accepted Manuscript Full Text Available
  5. ; ; (, Proceedings of the 2023 {ACM-SIAM} Symposium on Discrete Algorithms)
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  6. ; ; (, Proceedings of the 2023 {ACM-SIAM} Symposium on Discrete Algorithms)
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  7. ; ; (, In Proceedings of the 63rd IEEE Symposium on Foundations of Computer Science (FOCS))
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  8. ; ; ; (, Games and Economic Behavior)
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  9. (, IEEE Annual Symposium on Foundations of Computer Science)
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  10. ; (, Neural Computation)
    Abstract During recent decades, our understanding of the brain has advanced dramatically at both the cellular and molecular levels and at the cognitive neurofunctional level; however, a huge gap remains between the microlevel of physiology and the macrolevel of cognition. We propose that computational models based on assemblies of neurons can serve as a blueprint for bridging these two scales. We discuss recently developed computational models of assemblies that have been demonstrated to mediate higher cognitive functions such as the processing of simple sentences, to be realistically realizable by neural activity, and to possess general computational power. 
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