Ola Friman
Cognitive Neuroscience · 2007
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 12 citations into it; #4,527 of 10,852 by trust here, #7,130 by citations
- Cellular and Molecular Neuroscience — 6 citations into it; #1,117 of 2,998 by trust here, #2,267 by citations
Whom Ola Friman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven Lemm
- Gernot R. Müller-Putz
- Keith J. Worsley
- Christoph S. Herrmann
- Benjamin Blankertz
- Reinhold Scherer
- Gert Pfurtscheller
- Jonathan R. Wolpaw
Who trusts Ola Friman overall
- Xiaorong Gao
- Xiaogang Chen
- Masaki Nakanishi
- Brendan Z. Allison
- Guangyu Bin
- Shangkai Gao
- Yuanqing Li
- Yu Zhang
- Bo Hong
- Yu-Te Wang
Papers from Ola Friman's perspective
Ordered by how strongly the researchers Ola Friman trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
- Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
- Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
- Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena (Experimental Brain Research)
- Spatio-spectral filters for improving the classification of single trial EEG (IEEE Transactions on Biomedical Engineering)
- Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components (Journal of Neural Engineering)
- A General Statistical Analysis for fMRI Data (NeuroImage)
- Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
- Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
- Neural Networks for Pattern Recognition