HTM SPATIAL POOLER WITH TEMPORAL AGGREGATION

A software framework of the Numenta Hierarchical Temporal Memory Spatial Pooler (HTM-SP) for dealing with temporal aggregated data

This is an open source software framework that attempts to implement most of the ideas about machine intelligence based on the Numenta Inc. Hierarchical Temporal Memory Spatial Pooler theory. It deals with the problem of dimensionality reduction and data associations via temporal aggregation. Use this framework for classifying sequential time series, making sequential predictions and for pattern recognition problems.