Spatiotemporal multi-resolution approximation of the Amari type neural field model.
Identifieur interne : 003B44 ( PubMed/Corpus ); précédent : 003B43; suivant : 003B45Spatiotemporal multi-resolution approximation of the Amari type neural field model.
Auteurs : P. Aram ; D R Freestone ; M. Dewar ; K. Scerri ; V. Jirsa ; D B Grayden ; V. KadirkamanathanSource :
- NeuroImage [ 1095-9572 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- physiology : Brain.
- Algorithms, Humans, Models, Neurological, Models, Theoretical.
Abstract
Neural fields are spatially continuous state variables described by integro-differential equations, which are well suited to describe the spatiotemporal evolution of cortical activations on multiple scales. Here we develop a multi-resolution approximation (MRA) framework for the integro-difference equation (IDE) neural field model based on semi-orthogonal cardinal B-spline wavelets. In this way, a flexible framework is created, whereby both macroscopic and microscopic behavior of the system can be represented simultaneously. State and parameter estimation is performed using the expectation maximization (EM) algorithm. A synthetic example is provided to demonstrate the framework.
DOI: 10.1016/j.neuroimage.2012.10.039
PubMed: 23116813
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pubmed:23116813Le document en format XML
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Electronic address: deanrf@unimelb.edu.au.</nlm:affiliation></affiliation></author><author><name sortKey="Dewar, M" sort="Dewar, M" uniqKey="Dewar M" first="M" last="Dewar">M. Dewar</name><affiliation><nlm:affiliation>bit.ly, New York City, USA. Electronic address: md@bit.ly.</nlm:affiliation></affiliation></author><author><name sortKey="Scerri, K" sort="Scerri, K" uniqKey="Scerri K" first="K" last="Scerri">K. Scerri</name><affiliation><nlm:affiliation>Department of Systems and Control Engineering, University of Malta, Msida, MSD, Malta. Electronic address: kenneth.scerri@um.edu.mt.</nlm:affiliation></affiliation></author><author><name sortKey="Jirsa, V" sort="Jirsa, V" uniqKey="Jirsa V" first="V" last="Jirsa">V. Jirsa</name><affiliation><nlm:affiliation>Theoretical Neuroscience Group, UMR 1106, Institut de Neurosciences des Systemes, 13385 Marseille, France. Electronic address: viktor.jirsa@univ-amu.fr.</nlm:affiliation></affiliation></author><author><name sortKey="Grayden, D B" sort="Grayden, D B" uniqKey="Grayden D" first="D B" last="Grayden">D B Grayden</name><affiliation><nlm:affiliation>NeuroEngineering Laboratory, Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia; The Bionics Institute, East Melbourne, VIC, Australia. Electronic address: grayden@unimelb.edu.au.</nlm:affiliation></affiliation></author><author><name sortKey="Kadirkamanathan, V" sort="Kadirkamanathan, V" uniqKey="Kadirkamanathan V" first="V" last="Kadirkamanathan">V. Kadirkamanathan</name><affiliation><nlm:affiliation>Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. 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Electronic address: parham.aram@univ-amu.fr.</nlm:affiliation></affiliation></author><author><name sortKey="Freestone, D R" sort="Freestone, D R" uniqKey="Freestone D" first="D R" last="Freestone">D R Freestone</name><affiliation><nlm:affiliation>NeuroEngineering Laboratory, Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia; The Bionics Institute, East Melbourne, VIC, Australia. Electronic address: deanrf@unimelb.edu.au.</nlm:affiliation></affiliation></author><author><name sortKey="Dewar, M" sort="Dewar, M" uniqKey="Dewar M" first="M" last="Dewar">M. Dewar</name><affiliation><nlm:affiliation>bit.ly, New York City, USA. Electronic address: md@bit.ly.</nlm:affiliation></affiliation></author><author><name sortKey="Scerri, K" sort="Scerri, K" uniqKey="Scerri K" first="K" last="Scerri">K. Scerri</name><affiliation><nlm:affiliation>Department of Systems and Control Engineering, University of Malta, Msida, MSD, Malta. Electronic address: kenneth.scerri@um.edu.mt.</nlm:affiliation></affiliation></author><author><name sortKey="Jirsa, V" sort="Jirsa, V" uniqKey="Jirsa V" first="V" last="Jirsa">V. Jirsa</name><affiliation><nlm:affiliation>Theoretical Neuroscience Group, UMR 1106, Institut de Neurosciences des Systemes, 13385 Marseille, France. Electronic address: viktor.jirsa@univ-amu.fr.</nlm:affiliation></affiliation></author><author><name sortKey="Grayden, D B" sort="Grayden, D B" uniqKey="Grayden D" first="D B" last="Grayden">D B Grayden</name><affiliation><nlm:affiliation>NeuroEngineering Laboratory, Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia; The Bionics Institute, East Melbourne, VIC, Australia. Electronic address: grayden@unimelb.edu.au.</nlm:affiliation></affiliation></author><author><name sortKey="Kadirkamanathan, V" sort="Kadirkamanathan, V" uniqKey="Kadirkamanathan V" first="V" last="Kadirkamanathan">V. Kadirkamanathan</name><affiliation><nlm:affiliation>Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. Electronic address: visakan@sheffield.ac.uk.</nlm:affiliation></affiliation></author></analytic><series><title level="j">NeuroImage</title><idno type="eISSN">1095-9572</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Brain (physiology)</term><term>Humans</term><term>Models, Neurological</term><term>Models, Theoretical</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Brain</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Humans</term><term>Models, Neurological</term><term>Models, Theoretical</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Neural fields are spatially continuous state variables described by integro-differential equations, which are well suited to describe the spatiotemporal evolution of cortical activations on multiple scales. Here we develop a multi-resolution approximation (MRA) framework for the integro-difference equation (IDE) neural field model based on semi-orthogonal cardinal B-spline wavelets. In this way, a flexible framework is created, whereby both macroscopic and microscopic behavior of the system can be represented simultaneously. State and parameter estimation is performed using the expectation maximization (EM) algorithm. A synthetic example is provided to demonstrate the framework.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23116813</PMID><DateCreated><Year>2014</Year><Month>10</Month><Day>16</Day></DateCreated><DateCompleted><Year>2015</Year><Month>08</Month><Day>06</Day></DateCompleted><DateRevised><Year>2014</Year><Month>10</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-9572</ISSN><JournalIssue CitedMedium="Internet"><Volume>66</Volume><PubDate><Year>2013</Year><Month>Feb</Month><Day>01</Day></PubDate></JournalIssue><Title>NeuroImage</Title><ISOAbbreviation>Neuroimage</ISOAbbreviation></Journal><ArticleTitle>Spatiotemporal multi-resolution approximation of the Amari type neural field model.</ArticleTitle><Pagination><MedlinePgn>88-102</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.neuroimage.2012.10.039</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1053-8119(12)01042-7</ELocationID><Abstract><AbstractText>Neural fields are spatially continuous state variables described by integro-differential equations, which are well suited to describe the spatiotemporal evolution of cortical activations on multiple scales. Here we develop a multi-resolution approximation (MRA) framework for the integro-difference equation (IDE) neural field model based on semi-orthogonal cardinal B-spline wavelets. In this way, a flexible framework is created, whereby both macroscopic and microscopic behavior of the system can be represented simultaneously. State and parameter estimation is performed using the expectation maximization (EM) algorithm. A synthetic example is provided to demonstrate the framework.</AbstractText><CopyrightInformation>Copyright © 2012 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Aram</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Theoretical Neuroscience Group, UMR 1106, Institut de Neurosciences des Systemes, 13385 Marseille, France; Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. Electronic address: parham.aram@univ-amu.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Freestone</LastName><ForeName>D R</ForeName><Initials>DR</Initials><AffiliationInfo><Affiliation>NeuroEngineering Laboratory, Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia; The Bionics Institute, East Melbourne, VIC, Australia. Electronic address: deanrf@unimelb.edu.au.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dewar</LastName><ForeName>M</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>bit.ly, New York City, USA. Electronic address: md@bit.ly.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Scerri</LastName><ForeName>K</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Department of Systems and Control Engineering, University of Malta, Msida, MSD, Malta. Electronic address: kenneth.scerri@um.edu.mt.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jirsa</LastName><ForeName>V</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Theoretical Neuroscience Group, UMR 1106, Institut de Neurosciences des Systemes, 13385 Marseille, France. Electronic address: viktor.jirsa@univ-amu.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Grayden</LastName><ForeName>D B</ForeName><Initials>DB</Initials><AffiliationInfo><Affiliation>NeuroEngineering Laboratory, Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia; The Bionics Institute, East Melbourne, VIC, Australia. Electronic address: grayden@unimelb.edu.au.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kadirkamanathan</LastName><ForeName>V</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. Electronic address: visakan@sheffield.ac.uk.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>10</Month><Day>30</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Neuroimage</MedlineTA><NlmUniqueID>9215515</NlmUniqueID><ISSNLinking>1053-8119</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="Y">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001921" MajorTopicYN="N">Brain</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008959" MajorTopicYN="Y">Models, Neurological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="Y">Models, Theoretical</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Expectation maximization (EM) algorithm</Keyword><Keyword MajorTopicYN="N">Multi-resolution approximation (MRA)</Keyword><Keyword MajorTopicYN="N">Neural field model</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>06</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2012</Year><Month>08</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2012</Year><Month>10</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>11</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>11</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>8</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23116813</ArticleId><ArticleId IdType="pii">S1053-8119(12)01042-7</ArticleId><ArticleId IdType="doi">10.1016/j.neuroimage.2012.10.039</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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