Large Scalable Simulations of Mammalian Visual Cortex
Large artificial neural networks are examined. Structures discussed in this article simulate the cortex of mammalian visual system and its dynamics. Simulations of thousands of Hodgkin-Huxley neurons always require high computational power. Discussion of such networks parallelisation is presented in...
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creator | Wojcik, Grzegorz M. Kaminski, Wieslaw A. |
description | Large artificial neural networks are examined. Structures discussed in this article simulate the cortex of mammalian visual system and its dynamics. Simulations of thousands of Hodgkin-Huxley neurons always require high computational power. Discussion of such networks parallelisation is presented in some detail. Analysis of simulation time, algorithm’s speedup as a function of processors’ number and density of connections is discussed as well. |
doi_str_mv | 10.1007/11752578_48 |
format | Conference Proceeding |
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Structures discussed in this article simulate the cortex of mammalian visual system and its dynamics. Simulations of thousands of Hodgkin-Huxley neurons always require high computational power. Discussion of such networks parallelisation is presented in some detail. Analysis of simulation time, algorithm’s speedup as a function of processors’ number and density of connections is discussed as well.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540341412</identifier><identifier>ISBN: 9783540341413</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540341420</identifier><identifier>EISBN: 3540341420</identifier><identifier>DOI: 10.1007/11752578_48</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Cortical Column ; Exact sciences and technology ; High Computational Power ; Large Scalable Simulation ; Mammalian Visual System ; Readout Device ; Software</subject><ispartof>Lecture notes in computer science, 2006, p.399-405</ispartof><rights>Springer-Verlag Berlin Heidelberg 2006</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/11752578_48$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/11752578_48$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,779,780,784,789,790,793,4050,4051,27925,38255,41442,42511</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19162225$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Meyer, Norbert</contributor><contributor>Dongarra, Jack</contributor><contributor>Wyrzykowski, Roman</contributor><contributor>Waśniewski, Jerzy</contributor><creatorcontrib>Wojcik, Grzegorz M.</creatorcontrib><creatorcontrib>Kaminski, Wieslaw A.</creatorcontrib><title>Large Scalable Simulations of Mammalian Visual Cortex</title><title>Lecture notes in computer science</title><description>Large artificial neural networks are examined. Structures discussed in this article simulate the cortex of mammalian visual system and its dynamics. Simulations of thousands of Hodgkin-Huxley neurons always require high computational power. Discussion of such networks parallelisation is presented in some detail. Analysis of simulation time, algorithm’s speedup as a function of processors’ number and density of connections is discussed as well.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Cortical Column</subject><subject>Exact sciences and technology</subject><subject>High Computational Power</subject><subject>Large Scalable Simulation</subject><subject>Mammalian Visual System</subject><subject>Readout Device</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540341412</isbn><isbn>9783540341413</isbn><isbn>9783540341420</isbn><isbn>3540341420</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNUEtLAzEYjC-w1p78A3vx4GH1-74kzeYoxRdUPPi4hm-zSVndR9m0oP_elSo4lxmYYRhGiDOESwQwV4hGkzaFU8WemFlTSK1AKlQE-2KCc8RcSmUPxMmfgXQoJiCBcmuUPBazlN5hhEQrpZ4IveRhFbJnzw2XzSjqdtvwpu67lPUxe-S25abmLnur05abbNEPm_B5Ko4iNynMfnkqXm9vXhb3-fLp7mFxvczXhHaTK10RRgy-pDCXBXgikOwrVt7EwlMVIxrAMlZUKB2sDcAEhIxkKw1GTsX5rnfNaVwYB-58ndx6qFsevhxanBORHnMXu1warW4VBlf2_UdyCO7nN_fvN_kNl7RYww</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Wojcik, Grzegorz M.</creator><creator>Kaminski, Wieslaw A.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>Large Scalable Simulations of Mammalian Visual Cortex</title><author>Wojcik, Grzegorz M. ; Kaminski, Wieslaw A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-45d21f1ecb2e6380c2203acda4c7f8c2dff1701bfd2845e99e0a2021a129d5073</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Cortical Column</topic><topic>Exact sciences and technology</topic><topic>High Computational Power</topic><topic>Large Scalable Simulation</topic><topic>Mammalian Visual System</topic><topic>Readout Device</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wojcik, Grzegorz M.</creatorcontrib><creatorcontrib>Kaminski, Wieslaw A.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wojcik, Grzegorz M.</au><au>Kaminski, Wieslaw A.</au><au>Meyer, Norbert</au><au>Dongarra, Jack</au><au>Wyrzykowski, Roman</au><au>Waśniewski, Jerzy</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Large Scalable Simulations of Mammalian Visual Cortex</atitle><btitle>Lecture notes in computer science</btitle><date>2006</date><risdate>2006</risdate><spage>399</spage><epage>405</epage><pages>399-405</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540341412</isbn><isbn>9783540341413</isbn><eisbn>9783540341420</eisbn><eisbn>3540341420</eisbn><abstract>Large artificial neural networks are examined. Structures discussed in this article simulate the cortex of mammalian visual system and its dynamics. Simulations of thousands of Hodgkin-Huxley neurons always require high computational power. Discussion of such networks parallelisation is presented in some detail. Analysis of simulation time, algorithm’s speedup as a function of processors’ number and density of connections is discussed as well.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11752578_48</doi><tpages>7</tpages></addata></record> |
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subjects | Applied sciences Computer science control theory systems Computer systems and distributed systems. User interface Cortical Column Exact sciences and technology High Computational Power Large Scalable Simulation Mammalian Visual System Readout Device Software |
title | Large Scalable Simulations of Mammalian Visual Cortex |
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