Auto organisation d'une carte de neurones par modulation de la règle BCM dans un cadre multimodal
Identifieur interne : 002F21 ( Main/Merge ); précédent : 002F20; suivant : 002F22Auto organisation d'une carte de neurones par modulation de la règle BCM dans un cadre multimodal
Auteurs : Mathieu Lefort [France] ; Yann Boniface [France] ; Bernard Girau [France]Source :
English descriptors
Abstract
The cortex must permanently deal with stimuli coming from the environment, perceived through different sensors spatially separated. These stimuli converge in the cortex to be processed together in order to construct a multisensory and coherent view of the world. When somebody is hearing /ba/ and is simultaneously viewing the lips movements corresponding to /ga/, he is perceiving /da/. This phenomenon, known as McGurk effect, reveals the cross correlation between different modalities. Some cortical areas are mainly dedicated to the processing of a specific perception. These areas are topographically organized, meaning that two spatially close neurons respond to close stimuli. The purpose of this paper is to modify the BCM synaptic rule to obtain a self organization of a neuronal map. We introduce a feedback modulation of the learning rule, representing multimodal constraints of the environment. This feedback will be obtained by using a multimap and multilevel architecture of modality assembling.
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type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Girau, Bernard" sort="Girau, Bernard" uniqKey="Girau B" first="Bernard" last="Girau">Bernard Girau</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-2348" status="OLD"><idno type="RNSR">200018289J</idno><orgName>Neuromimetic intelligence</orgName><orgName type="acronym">CORTEX</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/cortex</ref></desc><listRelation><relation active="#struct-160" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-300291" type="indirect"></relation><relation active="#struct-300292" type="indirect"></relation><relation active="#struct-300293" type="indirect"></relation><relation active="#struct-2496" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-160" type="direct"><org type="laboratory" xml:id="struct-160" status="OLD"><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation name="UMR7503" active="#struct-441569" type="direct"></relation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-300291" type="direct"></relation><relation active="#struct-300292" type="direct"></relation><relation active="#struct-300293" type="direct"></relation></listRelation></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>BCM rule</term><term>feedback modulation</term><term>multimodality</term><term>self organization</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The cortex must permanently deal with stimuli coming from the environment, perceived through different sensors spatially separated. These stimuli converge in the cortex to be processed together in order to construct a multisensory and coherent view of the world. When somebody is hearing /ba/ and is simultaneously viewing the lips movements corresponding to /ga/, he is perceiving /da/. This phenomenon, known as McGurk effect, reveals the cross correlation between different modalities. Some cortical areas are mainly dedicated to the processing of a specific perception. These areas are topographically organized, meaning that two spatially close neurons respond to close stimuli. The purpose of this paper is to modify the BCM synaptic rule to obtain a self organization of a neuronal map. We introduce a feedback modulation of the learning rule, representing multimodal constraints of the environment. This feedback will be obtained by using a multimap and multilevel architecture of modality assembling.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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