Innovating signal processing for spike train data

被引：0
|
作者：
Paiva, Antonio [1 ]
Park, Il [1 ]
Principe, Jose C. [1 ]
机构：
[1] Univ Florida, Computat Neuroengn Lab, Gainesville, FL 32611 USA
来源：
2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 | 2007年
关键词：
D O I：
10.1109/IEMBS.2007.4353572
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
引用
收藏
页码：5431 / 5431
页数：1
相关论文
共 50 条
  • [31] Parametric models to relate spike train and LFP dynamics with neural information processing
    Banerjee, Arpan
    Dean, Heather L.
    Pesaran, Bijan
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2012, 6
  • [32] PACEMAKER SPIKE ALTERNANS - AN ARTIFACT OF DIGITAL SIGNAL-PROCESSING
    ENGLER, RL
    GOLDBERGER, AL
    BHARGAVA, V
    KAPELUSZNIK, D
    PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 1982, 5 (05): : 748 - 750
  • [33] Ternary spike-based neuromorphic signal processing system
    Wang, Shuai
    Zhang, Dehao
    Belatreche, Ammar
    Xiao, Yichen
    Qing, Hongyu
    Wei, Wenjie
    Zhang, Malu
    Yang, Yang
    NEURAL NETWORKS, 2025, 187
  • [34] Biomimetic tactile sensors and signal processing with spike trains: A review
    Yi, Zhengkun
    Zhang, Yilei
    Peters, Jan
    SENSORS AND ACTUATORS A-PHYSICAL, 2018, 269 : 41 - 52
  • [35] A digital signal processing system for recording multineuronal spike trains
    Meister, M
    Crevier, DW
    Robinson, HPC
    JOURNAL OF PHYSIOLOGY-LONDON, 1998, 506P : 2P - 3P
  • [36] Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE
    Quaglio, Pietro
    Yegenoglu, Alper
    Torre, Emiliano
    Endres, Dominik M.
    Gruen, Sonja
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2017, 11
  • [37] ANALYTICAL RECONSTRUCTION OF THE NEURONAL INPUT CURRENT FROM SPIKE TRAIN DATA
    AWISZUS, F
    BIOLOGICAL CYBERNETICS, 1992, 66 (06) : 537 - 542
  • [38] Long temporal autocorrelations in tropical precipitation data and spike train prototypes
    Abbott, Tristan H.
    Stechmann, Samuel N.
    Neelin, J. David
    GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (21) : 11472 - 11480
  • [39] Detecting parallel bursts in silico generated parallel spike train data
    Christian Braune
    Rudolf Kruse
    BMC Neuroscience, 16 (Suppl 1)
  • [40] Analysis of spike train data: An application of k-mean alignment
    Patriarca, Mirco
    Sangalli, Laura M.
    Secchi, Piercesare
    Vantini, Simone
    ELECTRONIC JOURNAL OF STATISTICS, 2014, 8 : 1769 - 1775
12345