[pymvpa] New paper using PyMVPA

[Andrew Connolly]

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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/attachments/20120224/84f487ca/attachment.html>