Intersubject consistency of cortical MEG signals during movie viewing
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Riitta Hari | Miika Koskinen | Kaisu Lankinen | Jukka Saari | M. Koskinen | R. Hari | Jukka Saari | Kaisu Lankinen | K. Lankinen
[1] D. Lamb,et al. Spectral Properties of , 2003 .
[2] N. Kanwisher,et al. The Human Body , 2001 .
[3] R. Ilmoniemi,et al. Interpreting magnetic fields of the brain: minimum norm estimates , 2006, Medical and Biological Engineering and Computing.
[4] R. Hari,et al. Magnetoencephalography: From SQUIDs to neuroscience Neuroimage 20th Anniversary Special Edition , 2012, NeuroImage.
[5] D. Heeger,et al. A Hierarchy of Temporal Receptive Windows in Human Cortex , 2008, The Journal of Neuroscience.
[6] Krish D. Singh,et al. A cautionary note on the interpretation of phase-locking estimates with concurrent changes in power , 2011, Clinical Neurophysiology.
[7] Andreas Bartels,et al. Integration of EEG source imaging and fMRI during continuous viewing of natural movies. , 2010, Magnetic resonance imaging.
[8] Pia Tikka,et al. Functional Subdivision of Group-ICA Results of fMRI Data Collected during Cinema Viewing , 2012, PloS one.
[9] Vince D. Calhoun,et al. Joint Blind Source Separation by Multiset Canonical Correlation Analysis , 2009, IEEE Transactions on Signal Processing.
[10] J. Pernier,et al. Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.
[11] M. Corbetta,et al. The Reorienting System of the Human Brain: From Environment to Theory of Mind , 2008, Neuron.
[12] Stephen Jose Hanson,et al. Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task , 2008, Journal of Computational Neuroscience.
[13] R. Malach,et al. Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.
[14] J. Kettenring,et al. Canonical Analysis of Several Sets of Variables , 2022 .
[15] M. Sams,et al. Inter-Subject Synchronization of Prefrontal Cortex Hemodynamic Activity During Natural Viewing , 2008, The open neuroimaging journal.
[16] Krish D. Singh,et al. Spatiotemporal frequency tuning of BOLD and gamma band MEG responses compared in primary visual cortex , 2008, NeuroImage.
[17] J. Pernier,et al. Oscillatory γ-Band (30–70 Hz) Activity Induced by a Visual Search Task in Humans , 1997, The Journal of Neuroscience.
[18] Thomas Martinetz,et al. Variability of eye movements when viewing dynamic natural scenes. , 2010, Journal of vision.
[19] R. Hari,et al. Emotions promote social interaction by synchronizing brain activity across individuals , 2012, Proceedings of the National Academy of Sciences.
[20] Nao Ninomiya,et al. The 10th anniversary of journal of visualization , 2007, J. Vis..
[21] Riitta Salmelin,et al. Magnetoencephalography: From SQUIDs to neuroscience Neuroimage 20th Anniversary Special Edition , 2012, NeuroImage.
[22] K. D. Singh,et al. Spectral properties of induced and evoked gamma oscillations in human early visual cortex to moving and stationary stimuli. , 2009, Journal of neurophysiology.
[23] Connie M. Borror,et al. Methods of Multivariate Analysis, 2nd Ed. , 2004 .
[24] N. Logothetis,et al. Natural vision reveals regional specialization to local motion and to contrast-invariant, global flow in the human brain. , 2008, Cerebral cortex.
[25] Jouko Lampinen,et al. Stimulus-Related Independent Component and Voxel-Wise Analysis of Human Brain Activity during Free Viewing of a Feature Film , 2012, PloS one.
[26] S. Zeki,et al. Functional brain mapping during free viewing of natural scenes , 2004, Human brain mapping.
[27] D. Heeger,et al. Neurocinematics: The Neuroscience of Film , 2008 .
[28] D. Poeppel,et al. Auditory Cortex Tracks Both Auditory and Visual Stimulus Dynamics Using Low-Frequency Neuronal Phase Modulation , 2010, PLoS biology.
[29] T. Allison,et al. Social perception from visual cues: role of the STS region , 2000, Trends in Cognitive Sciences.
[30] J. Swerts,et al. Magnetization reversal in patterned ferromagnetic and exchange-biased nanostructures studied by neutron reflectivity (invited) , 2005 .
[31] A. C. Rencher. Methods of multivariate analysis , 1995 .
[32] R. Andersen,et al. Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[33] G. Rizzolatti,et al. Activation of human primary motor cortex during action observation: a neuromagnetic study. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[34] Riitta Hari,et al. Towards natural stimulation in fMRI—Issues of data analysis , 2007, NeuroImage.
[35] Mikko Sams,et al. Inter-Subject Correlation of Brain Hemodynamic Responses During Watching a Movie: Localization in Space and Frequency , 2009, Front. Neuroinform..
[36] D. Heeger,et al. Reliability of cortical activity during natural stimulation , 2010, Trends in Cognitive Sciences.
[37] Riitta Hari,et al. Data-based functional template for sorting independent components of fMRI activity , 2011, Neuroscience Research.
[38] Aapo Hyvärinen,et al. Decoding Magnetoencephalographic Rhythmic Activity Using Spectrospatial Information , 2022 .
[39] G. Rizzolatti,et al. The mirror-neuron system. , 2004, Annual review of neuroscience.
[40] Andreas Bartels,et al. Brain dynamics during natural viewing conditions—A new guide for mapping connectivity in vivo , 2005, NeuroImage.
[41] Heikki Huttunen,et al. Mind reading with regularized multinomial logistic regression , 2012, Machine Vision and Applications.
[42] Rafael Malach,et al. Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation. , 2007, Cerebral cortex.
[43] A. Cichocki,et al. Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives , 2010, Progress in Neurobiology.
[44] S. Taulu,et al. Presentation of electromagnetic multichannel data: The signal space separation method , 2005 .
[45] Andreas Bartels,et al. The chronoarchitecture of the human brain—natural viewing conditions reveal a time-based anatomy of the brain , 2004, NeuroImage.