scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/neuroimage/SekiharaSN05 |
P356 | DOI | 10.1016/J.NEUROIMAGE.2005.04.009 |
P932 | PMC publication ID | 4041988 |
P698 | PubMed publication ID | 15990337 |
P5875 | ResearchGate publication ID | 7754398 |
P2093 | author name string | Srikantan S Nagarajan | |
Maneesh Sahani | |||
Kensuke Sekihara | |||
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Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction | Q33767300 | ||
Dynamic imaging of coherent sources: Studying neural interactions in the human brain | Q34625934 | ||
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Current source density distribution of sleep spindles in humans as found by synthetic aperture magnetometry | Q48022925 | ||
Muscle afferent inputs from the hand activate human cerebellum sequentially through parallel and climbing fiber systems | Q48161556 | ||
Localization of human somatosensory cortex using spatially filtered magnetoencephalography. | Q48346633 | ||
Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details | Q48392610 | ||
Statistical flattening of MEG beamformer images | Q48437366 | ||
Localization of brain electrical activity via linearly constrained minimum variance spatial filtering | Q48631979 | ||
A unified statistical approach for determining significant signals in images of cerebral activation | Q52313159 | ||
Application of an MEG eigenspace beamformer to reconstructing spatio-temporal activities of neural sources | Q77615440 | ||
P433 | issue | 2 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | statistics | Q12483 |
P304 | page(s) | 368-376 | |
P577 | publication date | 2005-08-01 | |
P1433 | published in | NeuroImage | Q1981225 |
P1476 | title | A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images | |
P478 | volume | 27 |
Q57066258 | A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases |
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