This package contains some MatLab tools for building Mixture of Gaussian Scale Mixture
(MGSM) models, and perform inference and learning. MGSM models, and their application
to the statistics of natural images and contextual phenomena in the visual cortex,
are describe in the associated paper:
Coen-Cagli, Dayan, Schwartz. "Cortical Surround Interactions and Perceptual Salience
via Natural Scene Statistics". PLoS Comp Biol 2012. DOI: 10.1371/journal.pcbi.1002405
This package contains some MatLab tools for estimating linear Fisher information
from population data. Also included are two datasets (one synthetic, including the
ground truth information; and one recorded in macaque primary visual cortex) to test the code.
The code and the data sets are described in the associated paper:
Ingmar Kanitscheider, Ruben Coen-Cagli, Adam Kohn, Alexandre Pouget
"Measuring Fisher information accurately in correlated neural populations".
PLoS Comp. Biol. 2015
several software suites which support access to the STEDT database. These are written in PERL and PHP, and present different capabilities and dimensions of this linguistic data. This object is a compressed archive of the svn code repository for the project as of January 5, 2015. The active repository is now on GitHub at https://github.com/stedt-project/sss.