Method and apparatus for detecting spatial patterns
US7937342B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 27, 2007 |
| Grant date | May 3, 2011 |
| Priority date | — |
| Expiry date | Nov 11, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/049
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An HTM node learns a plurality of groups of sensed input patterns over time based on the frequency of temporal adjacency of the input patterns. An HTM node receives a new sensed input, the HTM node assigns probabilities as to the likelihood that the new sensed input matches each of the plurality of learned groups. The HTM node then combines this probability distribution (may be normalized) with previous state information to assign probabilities as to the likelihood that the new sensed input is part of each of the learned groups of the HTM node. Then, as described above, the distribution over the set of groups learned by the HTM node is passed to a higher level node. This process is repeated at higher level nodes to infer a cause of the newly sensed input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.