• PUBLICATIONS [P]

    1. "Space-Time Algebra: A Model for Neocortical Computation,"
      James E. Smith, ISCA 2018. 

    2. "A Microarchitecture Implementation Framework for
      Online Learning with Temporal Neural Networks,      " Harideep Nair, John Paul Shen, & James E. Smith, ISVLSI 2021.

    3. "Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks," 
      Shreyas Chaudhari, Harideep Nair, Jose M.F. Moura, & John Paul Shen, ICASSP 2021.

    4. "TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNs," Harideep Nair, Prabhu Vellaisamy, Santha Bhasuthkar, & John Paul Shen, ISVLSI 2022.

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  • PRESENTATIONS [PR]

    1. "A Road Map for Reverse-Architecting the Brain's Neocortex,"         James E. Smith, FCRC Keynote 2019.     

    2. "Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units," Prabhu Vellaisamy, & John Paul Shen, The 4th Young Architect Workshop (YArch'22), at ASPLOS 2022. https://web.mit.edu/yarch2022/

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  • RESEARCH NOTES [RN]

    1. "(Newtonian) Space-Time Algebra,"
      James E. Smith, NCAL Research Note 1, 6/15/2019    ​

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