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Convolutional sparsenet!
Author: Jack Culpepper
License: BSD


This program is related to the following papers:

B. A. Olshausen and D. J. Field. Emergence of simple-cell receptive field
properties by learning a sparse code for natural images. Nature,
381(6583):607-9, jun 1996.

B. A. Olshausen BA (2003). IEEE International Conference on Image Processing.
Sept. 14-17, 2003. Barcelona, Spain.



Start matlab; startup.m will run automatically and set up your path.

To test, run unittest.m .

To check gradients, run:

check_a_conv.m
check_phi.m

To collect all the individually saved basis function images into a movie,
edit fig_avi.m and set paramstr to the paramstr you would like to watch
evolve, then run fig_avi.m .

--bjc 2010-03-10