Search Results - "Baryshnikov, B V"
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1
MEG and EEG source localization in beamspace
Published in IEEE transactions on biomedical engineering (01-03-2006)“…Beamspace methods are applied to EEG/MEG source localization problems in this paper. Beamspace processing involves passing the data through a linear…”
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Journal Article -
2
Maximum-likelihood estimation of low-rank signals for multiepoch MEG/EEG analysis
Published in IEEE transactions on biomedical engineering (01-11-2004)“…A maximum-likelihood-based algorithm is presented for reducing the effects of spatially colored noise in evoked response magneto- and electro-encephalography…”
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Journal Article -
3
Maximum likelihood dipole fitting in spatially colored noise
Published in Neurology & clinical neurophysiology (30-11-2004)“…We evaluated a maximum likelihood dipole-fitting algorithm for somatosensory evoked field (SEF) MEG data in the presence of spatially colored noise. The method…”
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Journal Article -
4
MEG sleep pattern dependence of auditory evoked fields in young infants
Published in Neurology & clinical neurophysiology (30-11-2004)“…We recorded magnetic auditory evoked responses (AERs) to brief 1 kHz tones in infants ranging in age from 1.5-8.5 weeks. Long continuous MEG recordings were…”
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Journal Article -
5
Subspace based MEG source detection
Published in IEEE Workshop on Statistical Signal Processing, 2003 (2003)“…The effect of mapping data into a subspace prior to performing detection of dipolar sources in white noise is assessed in this paper. The subspace…”
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Conference Proceeding
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6
Maximum likelihood estimation of low rank signals for multiepoch MEG/EEG data
Published in IEEE Workshop on Statistical Signal Processing, 2003 (2003)“…An algorithm for reducing spatially colored noise in evoked response magneto- and electro-encephalography data is presented. The algorithm models the…”
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Conference Proceeding -
7
Problems in estimating the dimensions of strange attractors in the analysis of biophysical data
Published in Biofizika (01-05-2000)“…Basic algorithms of calculating the dimensions of strange attractors from experimental data are considered. A special emphasis is placed on difficulties…”
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Journal Article