Name: GURU (Gary's Unbelievable Research Unit)
Type: Organization
Bio: Dr. Garrison Cottrell's Lab, where we model vision and cognition using deep networks, artificial neural networks, and Bayesian models.
Location: La Jolla, CA
Blog: http://cseweb.ucsd.edu/groups/guru/
GURU (Gary's Unbelievable Research Unit)'s Projects
The human corpus callosum has more fibers, and is more important, than previously suggested.
Datasets on corpus callosum physiology
An implementation of CNN visualization.
CorEx or "Correlation Explanation" constructs a hierarchy of maximally informative representations of complex data.
Differential Encoding model
Honghao's MATLAB neural network demo code.
IPython notebook demo of PCA, Gabor Filters, Perceptron, and Backpropagation.
Submission to OHBM 2016 on functional lateralization using the neurovault dataset.
Shared utility functions from within our lab
simulations using Ringo et al. (1994) as a starting point.
This is a Python framework for accessing and analyzing PING data.
A standard implementation for "The Model" (TM, Dailey and Cottrell (1999)), containing a sample dataset for preprocessing (Gabor Filtering and PCA), and a two-layer neural network for training on face recognition.