Hi I am new to NuPIC platform have found it particularly interesting because of its inspiration from human brain model. I would the communities advice on an idea.
I have read that the eeg signals start showing signs of an epileptic seizure way before its physiological impact. Also such eeg patterns vary a lot from person to person. Since NuPIC is an online learning platform, can't we develop a code that to learn its user's eeg patterns and predict a seizure so that they can be warned. If such an approach has been considered ( on NuPIC and not machine learning in general ), what were the challenges faced? I have had trouble finding people well versed in the fields of neuroscience to discuss about it. I hope you all find this area interesting and guide me. *Regards,* *Anubhav Chaturvedi* *Birla Institute of Technology & Science, Pilani* KK Birla Goa Campus +91-9637399150 *" You can do anything if you stop doing everything "*
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