Aapo Hyvärinen



NeCo: Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis

PRNI: Dynamic Connectivity Factorization: Interpretable decompositions of non-stationarity

ECML: Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density

AISTATS: Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations.

NeuroImage: Group-level spatial ICA of Fourier envelopes or rs-MEG data

NeuNet: A Bayesian Inverse Solution using ICA

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Professor of Computer Science (Machine Learning)

Recent software


A research manifesto ?