HTM on EEG data

Engineering NuPIC
2

How much EEG leads do your signal have? If you have more than one, you need to use an encoder that can encode multiple dimensions of data at once. Or have to run the data through a SP to remove unwanted information.

  1. Yes, that is a valid approach.

  2. Yes it will. You are absolutely correct.

  3. TM can only predict a single variable at a time. Having multiple variables at once will confuse TM and make it less effective. You’ll want to do one of the following:

    • Encode the channels separately. Than run the combined encoding through a Spatial Pooler to remove redundant information.
    • Use a Grid Cell (up to 2D) or the experimental Hyper Grid Transform (up to 40D) encoder ro encode all channels simotaniously
    • Use a RBM, neural network or a algorithm to reduce the dimention
    • Or any combination above. They have different properties and have to try to know which is the best
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