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Satoru Hayasaka

Showing results (1-10 of 45) with videos related to

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Frontiers in Human Neuroscience|January 4, 2014
Functional connectivity networks with and without global signal correctionSatoru Hayasaka
Brain Connectivity|September 14, 2017
Anti-Fragmentation of Resting-State Functional Magnetic Resonance Imaging Connectivity Networks with Node-Wise ThresholdingSatoru Hayasaka
Statistical Methods in Medical Research|November 6, 2003
Controlling the familywise error rate in functional neuroimaging: a comparative reviewThomas Nichols, Satoru Hayasaka
Neuroimage|August 25, 2004
Combining voxel intensity and cluster extent with permutation test frameworkSatoru Hayasaka, Thomas E Nichols
Neuroimage|December 20, 2003
Validating cluster size inference: random field and permutation methodsSatoru Hayasaka, Thomas E Nichols
Neuroimage|December 23, 2009
Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI dataSatoru Hayasaka, Paul J Laurienti
Neuroinformatics|May 31, 2012
Development of PowerMap: a software package for statistical power calculation in neuroimaging studiesKaren E Joyce, Satoru Hayasaka
Plos Computational Biology|January 30, 2013
The human functional brain network demonstrates structural and dynamical resilience to targeted attackKaren E Joyce, Satoru Hayasaka, Paul J Laurienti
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 27, 2011
Assessing the consistency of community structure in complex networksMatthew Steen, Satoru Hayasaka, Karen Joyce, et al.
Plos One|June 8, 2011
Exponential random graph modeling for complex brain networksSean L Simpson, Satoru Hayasaka, Paul J Laurienti
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Frontiers in Human Neuroscience|January 4, 2014
Functional connectivity networks with and without global signal correctionSatoru Hayasaka
Brain Connectivity|September 14, 2017
Anti-Fragmentation of Resting-State Functional Magnetic Resonance Imaging Connectivity Networks with Node-Wise ThresholdingSatoru Hayasaka
Statistical Methods in Medical Research|November 6, 2003
Controlling the familywise error rate in functional neuroimaging: a comparative reviewThomas Nichols, Satoru Hayasaka
Neuroimage|August 25, 2004
Combining voxel intensity and cluster extent with permutation test frameworkSatoru Hayasaka, Thomas E Nichols
Neuroimage|December 20, 2003
Validating cluster size inference: random field and permutation methodsSatoru Hayasaka, Thomas E Nichols
Neuroimage|December 23, 2009
Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI dataSatoru Hayasaka, Paul J Laurienti
Neuroinformatics|May 31, 2012
Development of PowerMap: a software package for statistical power calculation in neuroimaging studiesKaren E Joyce, Satoru Hayasaka
Plos Computational Biology|January 30, 2013
The human functional brain network demonstrates structural and dynamical resilience to targeted attackKaren E Joyce, Satoru Hayasaka, Paul J Laurienti
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 27, 2011
Assessing the consistency of community structure in complex networksMatthew Steen, Satoru Hayasaka, Karen Joyce, et al.
Plos One|June 8, 2011
Exponential random graph modeling for complex brain networksSean L Simpson, Satoru Hayasaka, Paul J Laurienti
Pageof 5