Spatio-temporal learning algorithms in hierarchical temporal networks
US8037010B2 · kind B2 · utility
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14Claims
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Key dates
| Filing date | Feb 28, 2008 |
| Grant date | Oct 11, 2011 |
| Priority date | — |
| Expiry date | Nov 4, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A spatio-temporal learning node is a type of HTM node which learns both spatial and temporal groups of sensed input patterns over time. Spatio-temporal learning nodes comprise spatial poolers which are used to determine spatial groups in a set of sensed input patterns. The spatio-temporal learning nodes further comprise temporal poolers which are used to determine groups of sensed input patterns that temporally co-occur. A spatio-temporal learning network is a hierarchical network including a plurality of spatio-temporal learning nodes.
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