Independent component analyses for quantifying neuronal ensemble interactions.

@article{Laubach1999IndependentCA,
  title={Independent component analyses for quantifying neuronal ensemble interactions.},
  author={Mark Laubach and Marshall G. Hussain Shuler and Miguel A. L. Nicolelis},
  journal={Journal of neuroscience methods},
  year={1999},
  volume={94 1},
  pages={141-54}
}
The goal of this study was to compare how multivariate statistical methods for dimension reduction account for correlations between simultaneously recorded neurons. Here, we describe applications of principal component analysis (PCA) and independent component analysis (ICA) (Cardoso J-F, Souloumiac A. IEE-Proc F 1993;140:362-70; Hyvarinen A, Oja E. Neural Comput 1997;9:1483-92; Lee TW, Girolami M, Sejnowski TJ. Neural Comp 1999;11:417-41) to neuronal ensemble data. Simulated ensembles of… CONTINUE READING

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