http://data.pymvpa.org/datasets/haxby2001/\n\nThis is a block-design fMRI dataset from a study on face and object\nrepresentation in human ventral temporal cortex. It consists of 6 subjects\nwith 12 runs per subject. In each run, the subjects passively viewed greyscale\nimages of eight object categories, grouped in 24s blocks separated by rest\nperiods. Each image was shown for 500ms and was followed by a 1500ms\ninter-stimulus interval. Full-brain fMRI data were recorded with a volume\nrepetition time of 2.5s, thus, a stimulus block was covered by roughly 9\nvolumes. This dataset has been repeatedly reanalyzed. For a complete\ndescription of the experimental design, fMRI acquisition parameters, and\npreviously obtained results see the references_ below.\n\n\nTerms Of Use\n============\n\nThe original authors of :ref:`Haxby et al. (2001) <HGF+01>` hold the copyright\nof this dataset and made it available under the terms of the `Creative Commons\nAttribution-Share Alike 3.0`_ license.\n\n.. _Creative Commons Attribution-Share Alike 3.0: http://creativecommons.org/licenses/by-sa/3.0/\n\n
References\n==========\n\n:ref:`Haxby, J., Gobbini, M., Furey, M., Ishai, A., Schouten, J., and Pietrini,\nP. (2001) <HGF+01>`. Distributed and overlapping representations of faces and\nobjects in ventral temporal cortex. Science 293, 2425–2430.\n\n:ref:`Hanson, S., Matsuka, T., and Haxby, J. (2004) <HMH04>`. Combinatorial\ncodes in ventral temporal lobe for object recognition: Haxby (2001). revisited:\nis there a “face” area? NeuroImage 23, 156–166.\n\n:ref:`O’Toole, A. J., Jiang, F., Abdi, H., & Haxby, J. V. (2005) <OJA+05>`.\nPartially distributed representations of objects and faces in ventral temporal\ncortex. Journal of Cognitive Neuroscience, 17, 580–590.\n\n:ref:`Hanke, M., Halchenko, Y.O., Sederberg, P.B., Olivetti, E., Fründ, I.,\nRieger, J.W., Herrmann, C.S., Haxby, J.V., Hanson, S. and Pollmann, S (2009)\n<HHS+09b>`. PyMVPA: a unifying approach to the analysis of neuroscientific\ndata. Frontiers in Neuroinformatics, 3:3.\n\n
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