Introduction - If you have any usage issues, please Google them yourself
Hierarchical Temporal Memory: What s In a Name?
The name was chosen for a reason:
Hierarchical-- HTMs are organized as a tree-shaped hierarchy of nodes. Each node implements a learning and memory function, that is, it encapsulates an algorithm. Lower-level nodes receive large amounts of input and send processed input up to the next level. In that way, the HTM Network abstracts the information as it is passed up the hierarchy.
Temporal-- During training, the HTM application must be presented with objects as they change over time. For example, during training of the Pictures application, the images are presented first top to bottom, then left to right as if the image were moving over time. Note that the temporal element is critical: The algorithm has been written to expect input that changes gradually over time.
Memory-- An HTM application works in two stages, which can be thought of as training memory and using memory. During training, the HTM Network learns to recognize