Encoding Data for HTM Systems

February 18, 2016 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Scott Purdy arXiv ID 1602.05925 Category cs.NE: Neural & Evolutionary Cross-listed q-bio.NC Citations 72 Venue arXiv.org Last Checked 5 months ago
Abstract
Hierarchical Temporal Memory (HTM) is a biologically inspired machine intelligence technology that mimics the architecture and processes of the neocortex. In this white paper we describe how to encode data as Sparse Distributed Representations (SDRs) for use in HTM systems. We explain several existing encoders, which are available through the open source project called NuPIC, and we discuss requirements for creating encoders for new types of data.
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