AAAI Publications, Twenty-Ninth AAAI Conference on Artificial Intelligence

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Effect of Spatial Pooler Initialization on Column Activity in Hierarchical Temporal Memory
Mackenzie Leake, Liyu Xia, Kamil Rocki, Wayne Imaino

Last modified: 2015-03-04


In the Hierarchical Temporal Memory (HTM) paradigm the effect of overlap between inputs on the activation of columns in the spatial pooler is studied. Numerical results suggest that similar inputs are represented by similar sets of columns and dissimilar inputs are represented by dissimilar sets of columns. It is shown that the spatial pooler produces these results under certain conditions for the connectivity and proximal thresholds at initialization. Qualitative arguments about the learning dynamics of the spatial pooler are then discussed.


Hierarchical Temporal Memory; HTM; Learning Algorithms; Machine Learning; Spatial Pooler

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