Joseph Dien
Journal of Neuroscience Methods · 2010
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
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Papers from Joseph Dien's perspective
Ordered by how strongly the researchers Joseph Dien trusts endorse each paper. Same corpus, a different order for every researcher.
- Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy
- EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
- Cortical networks for working memory and executive functions sustain the conscious resting state in man. (Brain Research Bulletin)
- A Unifying Information-Theoretic Framework for Independent Component Analysis
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution
- Removing electroencephalographic artifacts by blind source separation. (Psychophysiology)
- Independent component approach to the analysis of EEG and MEG recordings (IEEE Transactions on Biomedical Engineering)
- Analysis and visualization of single‐trial event‐related potentials (Human Brain Mapping)
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- A Greedy EM Algorithm for Gaussian Mixture Learning (Neural Processing Letters)