ICA - CNL
ICA Researchers at CNL

  • Marian Stewart Bartlett
    Face recognition using ICA

  • Glen Brown
    ICA applied to optical recordings of Tritoia

  • Sigurd Enghoff
    EEG data, Single Trial ERP analysis

  • Michael Gray
    Lipreading using ICA

  • Tzyy-Ping Jung
    EEG, artifacts, Single Trial ERP analysis, ERP, fMRI, Human-compuetr interface (HCI), alertness

  • Te-Won Lee
    ICA mixture model for classification, ICA algorithms, convolved blind source separation

  • Michael Lewicki
    overcomplete representations, probabilistic framework for ICA

  • Scott Makeig
    ERP, EEG, artifact removal, fMRI, alertness, Single Trial ERP analysis

  • Raj Rao
    Statistical theories of the cortex.

  • Terry Sejnowski
    ICA and the Brain



    • Former ICA-CNL Members

  • Tony Bell (now at Interval Research)
    Classical Infomax algorithm

  • Sigurd Enghoff (now at Technical University of Denmark)
    EEG analysis using ICA. C version of ICA.

  • Colin Humphries (now at UC Irvine)
    EEG data analysis, sleep EEG, epilepsy EEG

  • Hendrik Luebben (now at TU Berlin)
    Time-delayed decorrelation algorithm

  • Martin McKeown (now at Duke University, Medical School)
    fMRI, EEG data analysis, sleep EEG, epilepsy EEG



    • ICA Visitors at CNL

  • Seung Kee Han (Chung-Buk University)
    Synchronization in Coupled Excitable Systems, ICA Mixtures on Tetrode Data

  • Lars Kai Hansen (visiting from Technical University of Denmark)
    Noisy ICA algorithm for image processing, e.g., functional neuroimaging.

  • Mark Girolami (University of Paisley)

  • Bert-Uwe Koehler (TU Berlin)

  • Beatriz Prieto
    Geometrical ICA algorithms


  • Jim Stones (University of Sheffield)