Hierarchical Temporal Memory (HTM) is a biologically-constrained theory of intelligence originally described in the book On Intelligence. HTM is not a Deep Learning or Machine Learning technology. It is a machine intelligence framework strictly based on neuroscience and the physiology and interaction of pyramidal neurons in the neocortex of the mammalian brain.
If you’re interested in learning more about HTM, visit our educational series HTM School or browse through the topics on HTM Forum. You can also find a collection of research papers at numenta.com/papers and a living book authored by Numenta researchers and engineers that documents HTM called Biological and Machine Intelligence (BAMI).