POOLING IN A HIERARCHICAL TEMPORAL MEMORY BASED SYSTEM
First Claim
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1. 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.
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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.
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Citations
26 Claims
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1. A system, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. 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. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. 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. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26)
Specification