Please check out our new paper out this week in Journal of Neuroscience: The Representation of Biological Classes in the Human Brain Andrew C. Connolly, J. Swaroop Guntupalli, Jason Gors, Michael Hanke, Yaroslav O. Halchenko, Yu-Chien Wu, Hervé Abdi, and James V. Haxby
http://www.jneurosci.org/content/32/8/2608.full This Open-Access article investigates visual representations for a set of animal species using fMRI. The main finding is that representations of animal species from primates to bugs span the animate and inanimate regions of object vision cortex and compared to primates, activation patterns for bugs look more like those for inanimate objects (e.g., tools). Of general interest, the paper highlights the capabilities of PyMVPA for representational similarity analysis (RSA). Examples of general purpose methods include: (1) Similarity searchlights - mapping correlations between searchlight based neural similarity and behavioral and computational model similarity. (2) Across-subject similarity searchlight correlation mapping (3) Discovery of regions of shared structure (and ROI definition) based on clustering of searchlight-based similarity structures. (4) Multi-dimensional scaling of similarity matrices, including individual differences MDS (INDSCAL) [not yet implemented in PyMVPA but useful nonetheless... ] Thanks, Andy -- Andrew C. Connolly, Ph.D. Psychological and Brain Sciences Dartmouth College 6207 Moore Hall Hanover, NH 03755 603-646-6436
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