Independent component analysis of high-resolution imaging data identifies distinct functional domains
暂无分享,去创建一个
Amiram Grinvald | Jens Starke | David B. Omer | Hartwig Spors | Jürgen Reidl | A. Grinvald | J. Starke | H. Spors | D. Omer | J. Reidl
[1] D H HUBEL,et al. RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT. , 1965, Journal of neurophysiology.
[2] Katsuei Shibuki,et al. Short‐term plasticity visualized with flavoprotein autofluorescence in the somatosensory cortex of anaesthetized rats , 2004, The European journal of neuroscience.
[3] B. Sakmann,et al. Dynamic Receptive Fields of Reconstructed Pyramidal Cells in Layers 3 and 2 of Rat Somatosensory Barrel Cortex , 2003, The Journal of physiology.
[4] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[5] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[6] S Makeig,et al. Spatially independent activity patterns in functional MRI data during the stroop color-naming task. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[7] Michael P. Stryker,et al. New Paradigm for Optical Imaging Temporally Encoded Maps of Intrinsic Signal , 2003, Neuron.
[8] Richard M. Everson,et al. Independent Component Analysis: Principles and Practice , 2001 .
[9] K. Obermayer,et al. Analysis of Calcium Imaging Signals from the Honeybee Brain by Nonlinear Models , 2001, NeuroImage.
[10] H. Haken,et al. PHASE TRANSITIONS IN THE HUMAN BRAIN: SPATIAL MODE DYNAMICS , 1992 .
[11] James S. Schwaber,et al. Scattered-Light Imaging in Vivo Tracks Fast and Slow Processes of Neurophysiological Activation , 2001, NeuroImage.
[12] A. Grinvald,et al. Imaging Cortical Dynamics at High Spatial and Temporal Resolution with Novel Blue Voltage-Sensitive Dyes , 1999, Neuron.
[13] K. Karhunen. Zur Spektraltheorie stochastischer prozesse , 1946 .
[14] John W. Fisher,et al. ICA Using Spacings Estimates of Entropy , 2003, J. Mach. Learn. Res..
[15] Linda B. Buck,et al. Information coding in the olfactory system: Evidence for a stereotyped and highly organized epitope map in the olfactory bulb , 1994, Cell.
[16] Wen-Jie Song,et al. Separation of signal and noise from in vivo optical recording in Guinea pigs using independent component analysis , 2001, Neuroscience Letters.
[17] Rainer Goebel,et al. Cortex-based independent component analysis of fMRI time series. , 2004 .
[18] S Makeig,et al. Analysis of fMRI data by blind separation into independent spatial components , 1998, Human brain mapping.
[19] A. Grinvald,et al. Long-term voltage-sensitive dye imaging reveals cortical dynamics in behaving monkeys. , 2002, Journal of neurophysiology.
[20] B. Sakmann,et al. ‐Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex , 2002, The Journal of physiology.
[21] K. Obermayer,et al. Principal Component Analysis and Blind Separation of Sources for Optical Imaging of Intrinsic Signals , 2000, NeuroImage.
[22] Håkan Johansson,et al. Modern Techniques in Neuroscience Research , 1999, Springer Berlin Heidelberg.
[23] Tzyy-Ping Jung,et al. Independent Component Analysis of Electroencephalographic Data , 1995, NIPS.
[24] Michael I. Jordan,et al. Kernel independent component analysis , 2003 .
[25] Bert Sakmann,et al. Sub‐ and suprathreshold receptive field properties of pyramidal neurones in layers 5A and 5B of rat somatosensory barrel cortex , 2004, The Journal of physiology.
[26] H. Kantz,et al. Nonlinear time series analysis , 1997 .
[27] L. Cohen,et al. Representation of Odorants by Receptor Neuron Input to the Mouse Olfactory Bulb , 2001, Neuron.
[28] A. Grinvald,et al. Spatio-Temporal Dynamics of Odor Representations in the Mammalian Olfactory Bulb , 2002, Neuron.
[29] D. Cheyne,et al. Dynamic cortical activity in the human brain reveals motor equivalence , 1998, Nature.
[30] Terrence J. Sejnowski,et al. Blind source separation of more sources than mixtures using overcomplete representations , 1999, IEEE Signal Processing Letters.
[31] William H. Press,et al. Numerical recipes in C , 2002 .
[32] Fabrizio Esposito,et al. How does spatial extent of fMRI datasets affect independent component analysis decomposition? , 2006, Human brain mapping.
[33] Rainer W Friedrich,et al. Temporal Dynamics and Latency Patterns of Receptor Neuron Input to the Olfactory Bulb , 2006, The Journal of Neuroscience.
[34] Winfried Denk,et al. Functional organization of sensory input to the olfactory bulb glomerulus analyzed by two-photon calcium imaging , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[35] Amiram Grinvald,et al. Iso-orientation domains in cat visual cortex are arranged in pinwheel-like patterns , 1991, Nature.
[36] A. Grinvald,et al. Imaging Spatiotemporal Dynamics of Surround Inhibition in the Barrels Somatosensory Cortex , 2003, The Journal of Neuroscience.
[37] V. Mountcastle. Modality and topographic properties of single neurons of cat's somatic sensory cortex. , 1957, Journal of neurophysiology.
[38] Klaus Obermayer,et al. Blind signal separation from optical imaging recordings with extended spatial decorrelation , 2000, IEEE Transactions on Biomedical Engineering.
[39] Jean-Francois Cardoso,et al. Super-symmetric decomposition of the fourth-order cumulant tensor. Blind identification of more sources than sensors , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.
[40] Richard Axel,et al. Topographic organization of sensory projections to the olfactory bulb , 1994, Cell.
[41] T. Sejnowski,et al. Independent component analysis at the neural cocktail party , 2001, Trends in Neurosciences.
[42] P. Mitra,et al. Analysis of dynamic brain imaging data. , 1998, Biophysical journal.
[43] T. Woolsey,et al. The structural organization of layer IV in the somatosensory region (S I) of mouse cerebral cortex , 1970 .
[44] Allan Kardec Barros,et al. Extraction of event-related signals from multichannel bioelectrical measurements , 2000, IEEE Trans. Biomed. Eng..
[45] A. Grinvald,et al. Optical mapping of electrical activity in rat somatosensory and visual cortex , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[46] A. Grinvald,et al. Columnar Resolution of Blood Volume and Oximetry Functional Maps in the Behaving Monkey Implications for fMRI , 2004, Neuron.
[47] A Grinvald,et al. In-vivo Optical Imaging of Cortical Architecture and Dynamics , 1999 .
[48] Jean-Franois Cardoso. High-Order Contrasts for Independent Component Analysis , 1999, Neural Computation.
[49] D. Kleinfeld,et al. Distributed representation of vibrissa movement in the upper layers of somatosensory cortex revealed with voltage‐sensitive dyes , 1996, The Journal of comparative neurology.
[50] A. Grinvald,et al. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.
[51] Rainer Goebel,et al. Real-time independent component analysis of fMRI time-series , 2003, NeuroImage.
[52] Takusige Katura,et al. Isolation of neural activities from respiratory and heartbeat noises for in vivo optical recording in guinea pigs using independent component analysis , 2003, Neuroscience Letters.
[53] John S George,et al. A focusing image probe for assessing neural activity in vivo , 1999, Journal of Neuroscience Methods.