Decoding the spatio-temporal localization of behavioral events in populations of neurons
A method for decoding the spatio-temporal localization of behavioral events using the activity recorded from populations of neurons in-vivo is presented. The method is broken down into two parts: decoding temporal localization and decoding spatial localization of the events. As examples, the method...
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creator | Foffani, G. Moxon, K.A. |
description | A method for decoding the spatio-temporal localization of behavioral events using the activity recorded from populations of neurons in-vivo is presented. The method is broken down into two parts: decoding temporal localization and decoding spatial localization of the events. As examples, the method is applied for (i) detecting the time of footfall contact during treadmill locomotion and (ii) classifying the location of passive cutaneous stimulation to the forepaw. The work presented was performed off-line but can easily be implemented in real-time to be used for neurorobotic control. |
doi_str_mv | 10.1109/CNE.2003.1196746 |
format | Conference Proceeding |
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The method is broken down into two parts: decoding temporal localization and decoding spatial localization of the events. As examples, the method is applied for (i) detecting the time of footfall contact during treadmill locomotion and (ii) classifying the location of passive cutaneous stimulation to the forepaw. The work presented was performed off-line but can easily be implemented in real-time to be used for neurorobotic control.</description><identifier>ISBN: 0780375793</identifier><identifier>ISBN: 9780780375796</identifier><identifier>DOI: 10.1109/CNE.2003.1196746</identifier><language>eng</language><publisher>IEEE</publisher><subject>Animals ; Biomedical engineering ; Decoding ; Encoding ; Event detection ; Histograms ; In vivo ; Neurofeedback ; Neurons ; Rats</subject><ispartof>First International IEEE EMBS Conference on Neural Engineering, 2003. 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Conference Proceedings</title><addtitle>CNE</addtitle><description>A method for decoding the spatio-temporal localization of behavioral events using the activity recorded from populations of neurons in-vivo is presented. The method is broken down into two parts: decoding temporal localization and decoding spatial localization of the events. As examples, the method is applied for (i) detecting the time of footfall contact during treadmill locomotion and (ii) classifying the location of passive cutaneous stimulation to the forepaw. The work presented was performed off-line but can easily be implemented in real-time to be used for neurorobotic control.</description><subject>Animals</subject><subject>Biomedical engineering</subject><subject>Decoding</subject><subject>Encoding</subject><subject>Event detection</subject><subject>Histograms</subject><subject>In vivo</subject><subject>Neurofeedback</subject><subject>Neurons</subject><subject>Rats</subject><isbn>0780375793</isbn><isbn>9780780375796</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT01LAzEQDYig1t4FL_kDWydNNtk5Sq0fUPSi4K0k2YmNbDfLZlvQX--29l3evA8GHmM3AmZCAN4tXpezOYAcFWqj9Bm7AlOBNKVBecGmOX_DCImlkXjJPh_Ipzq2X3zYEM-dHWIqBtp2qbcNb5K3Tfw9mC1PgTva2H08RrSndsg8trxL3a45VvKh09KuH89rdh5sk2l64gn7eFy-L56L1dvTy-J-VURhyqHwKIxTTikSUqngyhpNHbSF4L3A2ul5VemgK4ugrCi1B48IQBBQoAQnJ-z2_28konXXx63tf9an8fIPlL1Q_w</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Foffani, G.</creator><creator>Moxon, K.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2003</creationdate><title>Decoding the spatio-temporal localization of behavioral events in populations of neurons</title><author>Foffani, G. ; Moxon, K.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c917b4b44e1344fb5d97df6a0fcc19db62886f68a904a156c0c9900e0f91930b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Animals</topic><topic>Biomedical engineering</topic><topic>Decoding</topic><topic>Encoding</topic><topic>Event detection</topic><topic>Histograms</topic><topic>In vivo</topic><topic>Neurofeedback</topic><topic>Neurons</topic><topic>Rats</topic><toplevel>online_resources</toplevel><creatorcontrib>Foffani, G.</creatorcontrib><creatorcontrib>Moxon, K.A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Foffani, G.</au><au>Moxon, K.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Decoding the spatio-temporal localization of behavioral events in populations of neurons</atitle><btitle>First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings</btitle><stitle>CNE</stitle><date>2003</date><risdate>2003</risdate><spage>24</spage><epage>27</epage><pages>24-27</pages><isbn>0780375793</isbn><isbn>9780780375796</isbn><abstract>A method for decoding the spatio-temporal localization of behavioral events using the activity recorded from populations of neurons in-vivo is presented. The method is broken down into two parts: decoding temporal localization and decoding spatial localization of the events. As examples, the method is applied for (i) detecting the time of footfall contact during treadmill locomotion and (ii) classifying the location of passive cutaneous stimulation to the forepaw. The work presented was performed off-line but can easily be implemented in real-time to be used for neurorobotic control.</abstract><pub>IEEE</pub><doi>10.1109/CNE.2003.1196746</doi><tpages>4</tpages></addata></record> |
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subjects | Animals Biomedical engineering Decoding Encoding Event detection Histograms In vivo Neurofeedback Neurons Rats |
title | Decoding the spatio-temporal localization of behavioral events in populations of neurons |
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