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# EEGLearn
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# EEGLearn
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A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images".
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A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images".
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This code can be used to construct sequence of images (EEG movie snippets) from ongoing EEG activities and to classify between different cognitive states through recurrent-convolutional neural
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This code can be used to construct sequence of images (EEG movie snippets) from ongoing EEG activities and to classify between different cognitive states through recurrent-convolutional neural
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nets. More generally it could be used to discover patterns in multi-channel timeseries recordings with known spatial relationship between sensors. Each color channel in the output image can contains values for a specific features computed for all sensors within a time window.
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nets. More generally it could be used to discover patterns in multi-channel timeseries recordings with known spatial relationship between sensors. Each color channel in the output image can contains values for a specific features computed for all sensors within a time window.
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![alt text](diagram.png "Converting EEG recordings to movie snippets")
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# Installation and Dependencies
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# Installation and Dependencies
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In order to run this code you need to install the following modules:
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In order to run this code you need to install the following modules:
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Numpy and Scipy (http://www.scipy.org/install.html)
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Numpy and Scipy (http://www.scipy.org/install.html)