Combinatorial Coding

Combinatorial Coding is a neural coding strategy in olfactory neurobiology whereby odor identity is represented by the unique pattern of activation across a population of broadly tuned olfactory sensory neurons, with each odorant eliciting a distinct combination of receptor responses that collectively discriminates it from other odorants.

69

Publications

8.3K

Citations

268

Authors

147

Institutions

Publications per year

2017–2026

15

Authors

268

  1. CF
    Charles F. Stevens

    Salk Institute for Biological Studies, United States

    3 publications · 159 citations

    3

    h-index

  2. ML
    Michael Leon

    University of California, Irvine, United States

    2 publications · 46 citations

    2

    h-index

  3. AC
    Adam C. Puché

    University of Maryland, Baltimore, United States

    2 publications · 43 citations

    2

    h-index

  4. SD
    Steven D. Munger

    University of Maryland, Baltimore, United States

    2 publications · 43 citations

    2

    h-index

  5. TS
    Takaaki Sato

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 2.4K citations

    2

    h-index

1–5 of 268

Venues

  1. PLoS ONE

    5 publications · 156 citations

    5

    h-index

  2. Chemical Senses

    5 publications · 467 citations

    5

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 288 citations

    4

    h-index

  4. Journal of Neuroscience

    4 publications · 463 citations

    4

    h-index

  5. Science

    3 publications · 655 citations

    3

    h-index

1–5