An application of Hierarchical Temporal Memory (HTM)

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dc.contributor.advisorTapson, Jonathanen_ZA
dc.contributor.advisorVerrinder, Robynen_ZA
dc.contributor.authorLiddiard, Ashleyen_ZA
dc.date.accessioned2014-07-31T10:55:07Z
dc.date.available2014-07-31T10:55:07Z
dc.date.issued2011en_ZA
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliograpical references (leaves 76-82).
dc.description.abstractWhile 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.en_ZA
dc.identifier.apacitationLiddiard, A. (2011). <i>An application of Hierarchical Temporal Memory (HTM)</i>. (application/pdf). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5181en_ZA
dc.identifier.chicagocitationLiddiard, Ashley. <i>"An application of Hierarchical Temporal Memory (HTM)."</i> application/pdf., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011. http://hdl.handle.net/11427/5181en_ZA
dc.identifier.citationLiddiard, A. 2011. An application of Hierarchical Temporal Memory (HTM). application/pdf. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Liddiard, Ashley AB - 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. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - An application of Hierarchical Temporal Memory (HTM) TI - An application of Hierarchical Temporal Memory (HTM) UR - http://hdl.handle.net/11427/5181 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5181
dc.identifier.vancouvercitationLiddiard A. An application of Hierarchical Temporal Memory (HTM). [application/pdf]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5181en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.titleAn application of Hierarchical Temporal Memory (HTM)en_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceapplication/pdfen_ZA
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