Analyze XYT images of neural networks taken using a two photon laser microscope and detect patterns in the activity of these neural networks using statistical based data mining.

The high level interaction scheme can be summarized as follows:

1) Once the image is loaded, the user does various manipulations on it to clean in and make it more workable.

2) Neurons marking - the user marks the neurons found in the image whose dynamics will be analyzed.

3) Spike sorting - the user identifies the spikes (action potentials) of each neuron.

4) Pattern detection - creating correlogram and based on them detect activity patterns - namely neural activity chains and neural activity groups.

See the full description in my thesis:

http://www.slideshare.net/yoavrubin/two-photon-imaging-with-high-temporal-resolution-of-correlated-neural-activity-5236985

This project is under the MIT license, with the addition of the requirement that in case you are using this project or part of this code and your work results in a publication (either in a journal or a conferense), you'll need to add two links in your references: one to this project and the following one about my thesis:

Yoav Rubin. (2010). Two photon imaging with high temporal resolution of correlated neural activity. Thesis dissertation.