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US 2007/0192270 A1Published application
Pooling in a hierarchical temporal memory based system
AssigneeNumenta, Inc.
InventorsJeffrey Hawkins, Dileep George
Life of this patent
Estimating the term…
Abstract
A hierarchy of computing modules is configured to learn a cause of input data sensed over space and time, and is further configured to determine a cause of novel sensed input data dependent on the learned cause. The hierarchy is further configured to associate a first pattern in the input data and a second pattern in the input data to a same possible cause of the input data.
Claims26
A system, comprising:
- a hierarchy of computing modules configured to learn a cause of input data sensed over space and time, the hierarchy further configured to determine a cause of novel sensed input data dependent on the learned cause,
- wherein the hierarchy is further configured to associate a first pattern in the input data and a second pattern in the input data to a same possible cause of the input data.
A computer-implemented method of performing operations, comprising:
- learning a cause of a first set of input data received over space and time by a hierarchy of computing modules, wherein the hierarchy is capable of determining a cause of a second set of input data dependent on the learned cause, and wherein the learning comprises:
- associating a first pattern in the first set of input data and a second pattern in the first set of input data to a same possible cause of the first set of input data.
A computer-readable medium having instructions therein that are executable by a processor, the instructions comprising instructions to:
- learn a cause of a first set of input data received over space and time by a hierarchy of computing modules, wherein the hierarchy is capable of determining a cause of a second set of input data dependent on the learned cause, and wherein the instructions to learn comprises instructions to:
- associate a first pattern in the first set of input data and a second pattern in the first set of input data to a same possible cause of the first set of input data.
Dependencies are inferred from the claim text.