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Neuroinformatics, Volume 7
Volume 7, Number 1, March 2009
- Badrinath Roysam, William Shain, Giorgio A. Ascoli:
The Central Role of Neuroinformatics in the National Academy of Engineering's Grandest Challenge: Reverse Engineer the Brain. 1-5 - Gleb Bezgin, Andrew T. Reid, Dirk Schubert, Rolf Kötter:
Matching Spatial with Ontological Brain Regions using Java Tools for Visualization, Database Access, and Integrated Data Analysis. 7-22 - Wieslaw L. Nowinski, Ihar Volkau, Yevgen Marchenko, A. Thirunavuukarasuu, Ting Ting Ng, Val M. Runge:
A 3D Model of Human Cerebrovasculature Derived from 3T Magnetic Resonance Angiography. 23-36 - Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Stephen José Hanson, James V. Haxby, Stefan Pollmann:
PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data. 37-53 - Xiao-zhong James Luo, David N. Kennedy, Zohara A. Cohen:
Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) Resource Announcement. 55-56 - Joseph A. Maldjian, Aaron H. Baer, Robert A. Kraft, Paul J. Laurienti, Jonathan H. Burdette:
Fully Automated Processing of fMRI Data in SPM: from MRI Scanner to PACS. 57-72 - Jan Gläscher:
Visualization of Group Inference Data in Functional Neuroimaging. 73-82 - Ranga Srinivasan, Xiaobo Zhou, Eric L. Miller, Ju Lu, Jeff W. Lichtman, Stephen T. C. Wong:
Automated Axon Tracking of 3D Confocal Laser Scanning Microscopy Images Using Guided Probabilistic Region Merging. 83
Volume 7, Number 2, June 2009
- David N. Kennedy:
Musings of a Post-Stimulus Mind... 85-87 - Clifford B. Saper, John H. R. Maunsell:
The Neuroscience Peer Review Consortium. 89-91 - Cengiz Günay, Jeremy R. Edgerton, Su Li, Thomas Sangrey, Astrid A. Prinz, Dieter Jaeger:
Database Analysis of Simulated and Recorded Electrophysiological Datasets with PANDORA's Toolbox. 93-111 - Jing Fan, Xiaobo Zhou, Jennifer G. Dy, Yong Zhang, Stephen T. C. Wong:
An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models. 113-130 - Jimin Liu, Su Huang, Wieslaw L. Nowinski:
Automatic Segmentation of the Human Brain Ventricles from MR Images by Knowledge-Based Region Growing and Trimming. 131-146 - Hubert Klekowicz, Urszula Malinowska, A. J. Piotrowska, D. Wolynczyk-Gmaj, Szymon Niemcewicz, Piotr J. Durka:
On the Robust Parametric Detection of EEG Artifacts in Polysomnographic Recordings. 147-160
Volume 7, Number 3, September 2009
- Erik De Schutter:
The International Neuroinformatics Coordinating Facility: Evaluating the First Years. 161-163 - David H. Goldberg, Jonathan D. Victor, Esther P. Gardner, Daniel Gardner:
Spike Train Analysis Toolkit: Enabling Wider Application of Information-Theoretic Techniques to Neurophysiology. 165-178 - Holger Heumann, Gabriel Wittum:
The Tree-Edit-Distance, a Measure for Quantifying Neuronal Morphology. 179-190 - Todd A. Gillette, John J. Grefenstette:
On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance. 191-194 - Randal A. Koene, Betty M. Tijms, Peter van Hees, Frank Postma, Alexander de Ridder, Ger J. A. Ramakers, Jaap van Pelt, Arjen van Ooyen:
NETMORPH: A Framework for the Stochastic Generation of Large Scale Neuronal Networks With Realistic Neuron Morphologies. 195-210
Volume 7, Number 4, December 2009
- Erik De Schutter, Giorgio A. Ascoli, David N. Kennedy:
Review of Papers Describing Neuroinformatics Software. 211-212 - Xiaosong Yuan, Joshua T. Trachtenberg, Steve M. Potter, Badrinath Roysam:
MDL Constrained 3-D Grayscale Skeletonization Algorithm for Automated Extraction of Dendrites and Spines from Fluorescence Confocal Images. 213-232 - Shu Zhou, Yan Wu, Claudia C. Dos Santos:
Visualizing Dynamical Neural Assemblies with a Fuzzy Synchronization Clustering Analysis. 233-244 - Urszula Malinowska, Hubert Klekowicz, Andrzej Wakarow, Szymon Niemcewicz, Piotr J. Durka:
Fully Parametric Sleep Staging Compatible with the Classical Criteria. 245-253 - Wieslaw L. Nowinski, A. Thirunavuukarasuu, Ihar Volkau, Yevgen Marchenko, Bivi Aminah, Fiftarina Puspitasari, Val M. Runge:
A Three-Dimensional Interactive Atlas of Cerebral Arterial Variants. 255-264
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