Coding Redundancy

Coding Redundancy is a population coding phenomenon in which multiple neurons encode overlapping or similar information about a stimulus, thereby providing robustness against noise and neural variability through distributed and repetitive representation.

41

Publications

3.1K

Citations

77

Authors

47

Institutions

Publications per year

2017–2026

2

Authors

77

  1. AF
    Arnold F. Kanarick

    Honeywell (United States), United States

    2 publications · 31 citations

    2

    h-index

  2. WL
    Wenjun Lv

    Central South University, China

    2 publications · 79 citations

    2

    h-index

  3. TH
    Tian He

    University of Minnesota, United States

    2 publications · 79 citations

    2

    h-index

  4. YZ
    Yutao Zhou

    Central South University, China

    2 publications · 79 citations

    2

    h-index

  5. NM
    Neri Merhav

    Technion – Israel Institute of Technology, Israel

    2 publications · 69 citations

    2

    h-index

1–5 of 77

Venues

  1. IEEE Transactions on Information Theory

    3 publications · 443 citations

    3

    h-index

  2. Network Computation in Neural Systems

    2 publications · 744 citations

    2

    h-index

  3. 2

    h-index

  4. Neural Computation

    2 publications · 91 citations

    2

    h-index

  5. IEEE Signal Processing Letters

    1 publications · 17 citations

    1

    h-index

1–5