An application of Hierarchical Temporal Memory (HTM)

While a number of neuromorphic studies have been based on understanding and building the brain in software and hardware, a recent theory has been presented from a high level, top down approach, with the view of understanding how the human brain performs higher reasoning, and then designing software infrastructure based on that theory - namely Hierarchical Temporal Memory (HTM). Current opinion raises question marks as to whether this theory is sound, feasible, coherent, logical and correct. This thesis aims to, if not answer some of those questions, at least get closer to understanding the brain and therefore implementing HTM theory in software for further use in an embedded environment. This paper begins by reviewing the discovery of the sensory input and chemical makeup of the signals in the brain, and then introduces mathematical abstraction to form a software program node.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2011

Author dc:creator

• Liddiard, Ashley

Advisors dc:contributor.advisor

• Tapson, Jonathan
• Verrinder, Robyn

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/5181

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/5181