Inhibitory Network Stability

Inhibitory Network Stability is a theoretical construct that denotes the capacity of an inhibitory neural circuit to maintain consistent functional dynamics and resist maladaptive structural or synaptic changes in response to perturbations.

43

Publications

1.7K

Citations

89

Authors

61

Institutions

Publications per year

2017–2026

9

Authors

89

  1. DL
    David L. Standley

    Massachusetts Institute of Technology, United States

    3 publications · 48 citations

    3

    h-index

  2. JL
    John L. Wyatt

    Massachusetts Institute of Technology, United States

    3 publications · 48 citations

    3

    h-index

  3. LH
    Lihong Huang

    Hunan University, China

    2 publications · 93 citations

    2

    h-index

  4. PA
    P. A. Robinson

    The University of Sydney, Australia

    2 publications · 39 citations

    2

    h-index

  5. CX
    Changjin Xu

    Guizhou University of Finance and Economics, China

    2 publications · 98 citations

    2

    h-index

1–5 of 89

Venues

  1. Neural Computation

    4 publications · 128 citations

    4

    h-index

  2. Physics Letters A

    4 publications · 347 citations

    4

    h-index

  3. Neurocomputing

    2 publications · 62 citations

    2

    h-index

  4. Physica D Nonlinear Phenomena

    2 publications · 89 citations

    2

    h-index

  5. Chaos Solitons & Fractals

    2 publications · 68 citations

    2

    h-index

1–5