Invention Grant
- Patent Title: Spatio-temporal learning algorithms in hierarchical temporal networks
- Patent Title (中): 分层时间网络中的时空学习算法
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Application No.: US13227355Application Date: 2011-09-07
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Publication No.: US08504494B2Publication Date: 2013-08-06
- Inventor: Robert G. Jaros , Jeffrey L. Edwards , Dileep George , Jeffrey C. Hawkins
- Applicant: Robert G. Jaros , Jeffrey L. Edwards , Dileep George , Jeffrey C. Hawkins
- Applicant Address: US CA Redwood City
- Assignee: Numenta, Inc.
- Current Assignee: Numenta, Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Fenwick & West LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06F9/44 ; G06N7/02 ; G06N7/06

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.
Public/Granted literature
- US20120005134A1 SPATIO-TEMPORAL LEARNING ALGORITHMS IN HIERARCHICAL TEMPORAL NETWORKS Public/Granted day:2012-01-05
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