Hi, Sorry for late reply, To: Ramesh Ganesan ,
I dint really understand what you explained. But I do think we can get predictive states out of the weight matrix. When a cell in a column is in predictive state, we can get the whole predictive state as the output by interpreting the column which has that predictive cell. There wont just be weight matrixs in this model. there would also we a matrix representing all cells. So every cell would have a current value , which if is above certain threshold its in predictive state, and above another threshold means its firing. But I am going to make a video explaining this algorithm and Should I post it on youtube and send a link here. That way I can be more clear in explaining my thoughts and you can point out my mistakes precisely. To: Gil, In a recent video uploaded on youtube by Rahul Agarwal, he states that temporal pooler's job is to select which cell in an activated column is active, whether its one cell or whether the whole column bursts. He says the Classifier is the one that does multi step predictions. It gives predictions certain steps ahead. May be you are right, I am not addressing the classifier in particular, but I am thinking of the prediction algorithm that goes in grok. As i mentioned above, it is possible to interpret the prediction out of the cells that are in predictive state. Prediction is going to be a pattern like an input pattern. To: Scott Purdy, Current Classifier makes predictions n steps ahead. And when it does so, we dont get predictions from 1 to n-1 steps. Separate task specific tables are required for those predictions. Plus it needs lot of memory. I dont know how much memory would be required to store weights of every cell but i guess it would be a fixed memory allocation. It wont vary with inputs. Thankyou so much for replying :) ! This work is very exciting and your replies have excited me further. ASEEM HEGSHETYE _______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
