TEMPORAL MEMORY USING SPARSE DISTRIBUTED REPRESENTATION

TEMPORAL MEMORY USING SPARSE DISTRIBUTED REPRESENTATION

A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: MARIANETTI, RONALD, II, AHMAD, SUBUTAI, HAWKINS, JEFFREY, C, RAJ, ANOSH
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
OPTICAL COMPUTING DEVICES
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator MARIANETTI, RONALD, II
AHMAD, SUBUTAI
HAWKINS, JEFFREY, C
RAJ, ANOSH
description A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP2548096A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP2548096A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP2548096A13</originalsourceid><addsrcrecordid>eNrjZDAPcfUN8A9y9FHwdfX1D4pUCA329HNXCA5wDAp2VXDxDA4J8nQKDXF1UQhyDQhyDXb1C3EM8fT342FgTUvMKU7lhdLcDApuriHOHrqpBfnxqcUFicmpeakl8a4BRqYmFgaWZo6GxkQoAQAw1yhx</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>TEMPORAL MEMORY USING SPARSE DISTRIBUTED REPRESENTATION</title><source>esp@cenet</source><creator>MARIANETTI, RONALD, II ; AHMAD, SUBUTAI ; HAWKINS, JEFFREY, C ; RAJ, ANOSH</creator><creatorcontrib>MARIANETTI, RONALD, II ; AHMAD, SUBUTAI ; HAWKINS, JEFFREY, C ; RAJ, ANOSH</creatorcontrib><description>A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; OPTICAL COMPUTING DEVICES ; PHYSICS</subject><creationdate>2013</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20130123&amp;DB=EPODOC&amp;CC=EP&amp;NR=2548096A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20130123&amp;DB=EPODOC&amp;CC=EP&amp;NR=2548096A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MARIANETTI, RONALD, II</creatorcontrib><creatorcontrib>AHMAD, SUBUTAI</creatorcontrib><creatorcontrib>HAWKINS, JEFFREY, C</creatorcontrib><creatorcontrib>RAJ, ANOSH</creatorcontrib><title>TEMPORAL MEMORY USING SPARSE DISTRIBUTED REPRESENTATION</title><description>A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>OPTICAL COMPUTING DEVICES</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2013</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAPcfUN8A9y9FHwdfX1D4pUCA329HNXCA5wDAp2VXDxDA4J8nQKDXF1UQhyDQhyDXb1C3EM8fT342FgTUvMKU7lhdLcDApuriHOHrqpBfnxqcUFicmpeakl8a4BRqYmFgaWZo6GxkQoAQAw1yhx</recordid><startdate>20130123</startdate><enddate>20130123</enddate><creator>MARIANETTI, RONALD, II</creator><creator>AHMAD, SUBUTAI</creator><creator>HAWKINS, JEFFREY, C</creator><creator>RAJ, ANOSH</creator><scope>EVB</scope></search><sort><creationdate>20130123</creationdate><title>TEMPORAL MEMORY USING SPARSE DISTRIBUTED REPRESENTATION</title><author>MARIANETTI, RONALD, II ; AHMAD, SUBUTAI ; HAWKINS, JEFFREY, C ; RAJ, ANOSH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP2548096A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2013</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>OPTICAL COMPUTING DEVICES</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>MARIANETTI, RONALD, II</creatorcontrib><creatorcontrib>AHMAD, SUBUTAI</creatorcontrib><creatorcontrib>HAWKINS, JEFFREY, C</creatorcontrib><creatorcontrib>RAJ, ANOSH</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MARIANETTI, RONALD, II</au><au>AHMAD, SUBUTAI</au><au>HAWKINS, JEFFREY, C</au><au>RAJ, ANOSH</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>TEMPORAL MEMORY USING SPARSE DISTRIBUTED REPRESENTATION</title><date>2013-01-23</date><risdate>2013</risdate><abstract>A processing node in a temporal memory system includes a spatial pooler and a sequence processor. The spatial pooler generates a spatial pooler signal representing similarity between received spatial patterns in an input signal and stored co-occurrence patterns. The spatial pooler signal is represented by a combination of elements that are active or inactive. Each co-occurrence pattern is mapped to different subsets of elements of an input signal. The spatial pooler signal is fed to a sequence processor receiving and processed to learn, recognize and predict temporal sequences in the input signal. The sequence processor includes one or more columns, each column including one or more cells. A subset of columns may be selected by the spatial pooler signal, causing one or more cells in these columns to activate.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; fre ; ger
recordid cdi_epo_espacenet_EP2548096A1
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
OPTICAL COMPUTING DEVICES
PHYSICS
title TEMPORAL MEMORY USING SPARSE DISTRIBUTED REPRESENTATION
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T18%3A51%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=MARIANETTI,%20RONALD,%20II&rft.date=2013-01-23&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP2548096A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true