Encoding Data for HTM Systems
February 18, 2016 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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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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