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openHTM is an open-source implementation of the HTM Cortical Learning Algorithms initially proposed by Jeff Hawkins in his book On Intelligence.
Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world.
openHTM is colaborattive effort that arose with wish of a few competent HTM fans of implement and improve the current state of the HTM algoritms discussed on the Numenta white papers.
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