Sparse Coding Circuits

Sparse Coding Circuits is a neural circuit motif that implements a computational strategy in which a minimal subset of neurons is activated to represent information, thereby achieving efficient and selective encoding through sparse, distributed activity patterns.

34

Publications

3.4K

Citations

134

Authors

78

Institutions

Publications per year

2017–2026

12

Authors

134

  1. CJ
    Christopher J. Rozell

    Georgia Institute of Technology, United States

    2 publications · 49 citations

    2

    h-index

  2. JF
    James F.A. Poulet

    Max Delbrück Center, Germany

    2 publications · 284 citations

    2

    h-index

  3. YK
    Yves Kremer

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 284 citations

    2

    h-index

  4. SC
    Sylvain Crochet

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 284 citations

    2

    h-index

  5. CC
    Carl C.H. Petersen

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 284 citations

    2

    h-index

1–5 of 134

Venues

  1. Frontiers in Neural Circuits

    3 publications · 232 citations

    3

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  2. Neuron

    3 publications · 781 citations

    3

    h-index

  3. PLoS Computational Biology

    2 publications · 119 citations

    2

    h-index

  4. Neural Networks

    1 publications · 134 citations

    1

    h-index

  5. 1

    h-index

1–5