Sparse Distributed Representation

Sparse Distributed Representation is a neural coding scheme in which information is represented by the joint activity of a small subset of neurons within a large population, such that each neuron has a specific semantic selectivity and the overall pattern is both sparse in activation and distributed across the network.

64

Publications

5.7K

Citations

150

Authors

91

Institutions

Publications per year

2017–2026

12

Variants

Sdr

Authors

150

  1. JH
    Jeff Hawkins

    Numerica Corporation (United States), United States

    5 publications · 369 citations

    5

    h-index

  2. SA
    Subutai Ahmad

    Numerica Corporation (United States), United States

    5 publications · 369 citations

    5

    h-index

  3. DA
    Dmitri A. Rachkovskij

    Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine, Ukraine

    3 publications · 190 citations

    3

    h-index

  4. MC
    Manuel Crisóstomo

    University of Coimbra, Portugal

    3 publications · 46 citations

    3

    h-index

  5. AP
    A. Paulo Coimbra

    University of Coimbra, Portugal

    3 publications · 46 citations

    3

    h-index

1–5 of 150

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 284 citations

    5

    h-index

  2. Network Computation in Neural Systems

    4 publications · 198 citations

    4

    h-index

  3. Neural Computation

    3 publications · 153 citations

    3

    h-index

  4. NeuroImage

    2 publications · 83 citations

    2

    h-index

  5. Cognitive Computation

    2 publications · 987 citations

    2

    h-index

1–5