Matti S. Hämäläinen

Cognitive Neuroscience · 1997–2021

A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 51 citations into it; #2,002 of 10,852 by trust here, #1,236 by citations
• Signal Processing — 21 citations into it; #1,763 of 7,572 by trust here, #841 by citations
• Radiology, Nuclear Medicine and Imaging — 10 citations into it; #563 of 3,265 by trust here, #1,462 by citations
• Artificial Intelligence — 8 citations into it
• Geometry and Topology — 5 citations into it

Whom Matti S. Hämäläinen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Roberto D. Pascual-Marqui

Who trusts Matti S. Hämäläinen overall

1. Olaf Hauk
2. Alexandre Gramfort
3. Tijl Grootswagers
4. Mainak Jas
5. Robert Oostenveld
6. Aapo Hyvärinen
7. Harald T. Schupp
8. François Tadel
9. Tim C Kietzmann
10. Johan Himberg

Papers from Matti S. Hämäläinen's perspective

Ordered by how strongly the researchers Matti S. Hämäläinen trusts endorse each paper. Same corpus, a different order for every researcher.

1. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
2. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
3. Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
4. Controlling the false discovery rate: a practical and powerful approach to multiple testing
5. Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
6. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
7. Removing electroencephalographic artifacts by blind source separation. (Psychophysiology)
8. Nonparametric statistical testing of EEG- and MEG-data. (Journal of Neuroscience Methods)
9. Fast and robust fixed-point algorithms for independent component analysis
10. Independent component analysis: algorithms and applications

Their papers

• Altered maturation and atypical cortical processing of spoken sentences in autism spectrum disorder (2021)
• Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice (2016)
• MNE software for processing MEG and EEG data (2013) — 1,925 citations
• MEG and EEG data analysis with MNE-Python (2013) — 3,690 citations
• Interpreting magnetic fields of the brain: minimum norm estimates (2006) — 1,929 citations
• Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates (2006) — 522 citations
• Independent component approach to the analysis of EEG and MEG recordings (2000) — 855 citations
• Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings (1997)