Closed-loop Neural Systems

Closed-Loop Neural Systems is a neural engineering paradigm that integrates real-time bidirectional communication between neural substrates and external devices, distinguished by continuous feedback-driven adaptation of neural activity through responsive stimulation or actuation.

802

Publications

46.1K

Citations

2K

Authors

746

Institutions

Publications per year

2017–2026

388

Authors

2K

  1. JC
    Jinde Cao

    Southeast University, China

    70 publications · 6K citations

    44

    h-index

  2. XY
    Xinsong Yang

    Chongqing Normal University, China

    22 publications · 1.5K citations

    21

    h-index

  3. JH
    Ju H. Park

    Yeungnam University, South Korea

    20 publications · 1.5K citations

    20

    h-index

  4. HJ
    Haijun Jiang

    Xinjiang University, China

    23 publications · 1.2K citations

    19

    h-index

  5. ZZ
    Zhigang Zeng

    Huazhong University of Science and Technology, China

    23 publications · 1.5K citations

    18

    h-index

1–5 of 2K

Venues

  1. Neurocomputing

    146 publications · 6.5K citations

    49

    h-index

  2. Neural Networks

    64 publications · 5.3K citations

    43

    h-index

  3. Applied Mathematics and Computation

    33 publications · 1.8K citations

    26

    h-index

  4. Chaos Solitons & Fractals

    41 publications · 1.8K citations

    25

    h-index

  5. Nonlinear Dynamics

    28 publications · 1.4K citations

    22

    h-index

1–5