Reservoir computing methods for functional identification of biological networks

被引:0
|
作者
Tayfun Gürelu
Stefan Rotter
Ulrich Egert
机构
[1] Bernstein Center for Computational Neuroscience Freiburg,Biomicrotechnology, Department of Microsystems Engineering – IMTEK
[2] University of Freiburg,Computational Neuroscience, Faculty of Biology
[3] University of Freiburg,undefined
关键词
Input Stream; Functional Identification; Conditional Intensity; Sigmoid Activation Function; Echo State Network;
D O I
10.1186/1471-2202-10-S1-P293
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Functional differentiations in evolutionary reservoir computing networks
    Yamaguti, Yutaka
    Tsuda, Ichiro
    CHAOS, 2021, 31 (01)
  • [2] Functional identification of biological neural networks using reservoir adaptation for point processes
    Tayfun Gürel
    Stefan Rotter
    Ulrich Egert
    Journal of Computational Neuroscience, 2010, 29 : 279 - 299
  • [3] Functional identification of biological neural networks using reservoir adaptation for point processes
    Guerel, Tayfun
    Rotter, Stefan
    Egert, Ulrich
    JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2010, 29 (1-2) : 279 - 299
  • [4] Functional topology classification of biological computing networks
    Blinder P.
    Baruchi I.
    Volman V.
    Levine H.
    Baranes D.
    Ben Jacob E.
    Natural Computing, 2005, 4 (4) : 339 - 361
  • [5] Radar Signal Processing for Human Identification by Means of Reservoir Computing Networks
    Jalalvand, Azarakhsh
    Vandersmissen, Baptist
    De Neve, Wesley
    Mannens, Erik
    2019 IEEE RADAR CONFERENCE (RADARCONF), 2019,
  • [6] Quantum Neuromorphic Computing with Reservoir Computing Networks
    Ghosh, Sanjib
    Nakajima, Kohei
    Krisnanda, Tanjung
    Fujii, Keisuke
    Liew, Timothy C. H.
    ADVANCED QUANTUM TECHNOLOGIES, 2021, 4 (09)
  • [7] An experimental unification of reservoir computing methods
    Verstraeten, D.
    Schrauwen, B.
    D'Haene, M.
    Stroobandt, D.
    NEURAL NETWORKS, 2007, 20 (03) : 391 - 403
  • [8] Reservoir computing with delay in structured networks
    Roehm, Andre
    Luedge, Kathy
    NEURO-INSPIRED PHOTONIC COMPUTING, 2018, 10689
  • [9] Reservoir Computing Using Laser Networks
    Rohm, Andre
    Jaurigue, Lina
    Luedge, Kathy
    IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2020, 26 (01)
  • [10] Federated Reservoir Computing Neural Networks
    Bacciu, Davide
    Di Sarli, Daniele
    Faraji, Pouria
    Gallicchio, Claudio
    Micheli, Alessio
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,