Thanks for the video.
I have a question, in learning process of TM, we have:
At any time step t, the set of active cells is represented by the M*N binary matrix A^t such that a(t,i,j) is activation state of the i’th cell in j’th column.
according to this, what is the input of the classifier? a vector by length MN which contains all elements of matrix A?