Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm
Identifieur interne :
000E54 ( PascalFrancis/Corpus );
précédent :
000E53;
suivant :
000E55
Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm
Auteurs : QINGXIANG WU ;
T. M. Mcginnity ;
L. P. Maguire ;
A. Belatreche ;
B. GlackinSource :
-
Lecture notes in computer science [ 0302-9743 ] ; 2005.
RBID : Pascal:05-0422213
Descripteurs français
- Pascal (Inist)
- Image virtuelle,
Intelligence artificielle,
Système intelligent,
Système temporisé,
Inélasticité,
Plasticité,
Sensibilité tactile,
Système biologique,
Méthode adaptative,
Changement coordonnée,
Réseau neuronal,
..
English descriptors
- KwdEn :
- Adaptive method,
Artificial intelligence,
Biological system,
Inelasticity,
Intelligent system,
Neural network,
Plasticity,
Tactile sensitivity,
Timed system,
Transformation of coordinates,
Virtual image.
Abstract
A spiking neural network (SNN) model trained with spiking-timing-dependent-plasticity (STDP) is proposed to perform a 2D co-ordinate transformation of the polar representation of an arm position to a Cartesian representation in order to create a virtual image map of a haptic input. The position of the haptic input is used to train the SNN using STDP such that after learning the SNN can perform the co-ordinate transformation to generate a representation of the haptic input with the same co-ordinates as a visual image. This principle can be applied to complex co-ordinate transformations in artificial intelligent systems to process biological stimuli.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
A01 | 01 | 1 | | @0 0302-9743 |
---|
A05 | | | | @2 3610 |
---|
A08 | 01 | 1 | ENG | @1 Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm |
---|
A09 | 01 | 1 | ENG | @1 Advances in natural computation : Changsha, 27-29 August 2005 |
---|
A11 | 01 | 1 | | @1 QINGXIANG WU |
---|
A11 | 02 | 1 | | @1 MCGINNITY (T. M.) |
---|
A11 | 03 | 1 | | @1 MAGUIRE (L. P.) |
---|
A11 | 04 | 1 | | @1 BELATRECHE (A.) |
---|
A11 | 05 | 1 | | @1 GLACKIN (B.) |
---|
A12 | 01 | 1 | | @1 WANG LIPO @9 ed. |
---|
A12 | 02 | 1 | | @1 CHEN KE @9 ed. |
---|
A12 | 03 | 1 | | @1 ONG YEW SOON @9 ed. |
---|
A14 | 01 | | | @1 School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry @2 BT48 7JL, N.Ireland @3 GBR @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 4 aut. @Z 5 aut. |
---|
A20 | | | | @2 Part 1, 420-428 |
---|
A21 | | | | @1 2005 |
---|
A23 | 01 | | | @0 ENG |
---|
A26 | 01 | | | @0 3-540-28323-4 |
---|
A43 | 01 | | | @1 INIST @2 16343 @5 354000124507310540 |
---|
A44 | | | | @0 0000 @1 © 2005 INIST-CNRS. All rights reserved. |
---|
A45 | | | | @0 22 ref. |
---|
A47 | 01 | 1 | | @0 05-0422213 |
---|
A60 | | | | @1 P @2 C |
---|
A61 | | | | @0 A |
---|
A64 | 01 | 1 | | @0 Lecture notes in computer science |
---|
A66 | 01 | | | @0 DEU |
---|
C01 | 01 | | ENG | @0 A spiking neural network (SNN) model trained with spiking-timing-dependent-plasticity (STDP) is proposed to perform a 2D co-ordinate transformation of the polar representation of an arm position to a Cartesian representation in order to create a virtual image map of a haptic input. The position of the haptic input is used to train the SNN using STDP such that after learning the SNN can perform the co-ordinate transformation to generate a representation of the haptic input with the same co-ordinates as a visual image. This principle can be applied to complex co-ordinate transformations in artificial intelligent systems to process biological stimuli. |
---|
C02 | 01 | X | | @0 001D02C |
---|
C03 | 01 | X | FRE | @0 Image virtuelle @5 06 |
---|
C03 | 01 | X | ENG | @0 Virtual image @5 06 |
---|
C03 | 01 | X | SPA | @0 Imagen virtual @5 06 |
---|
C03 | 02 | X | FRE | @0 Intelligence artificielle @5 07 |
---|
C03 | 02 | X | ENG | @0 Artificial intelligence @5 07 |
---|
C03 | 02 | X | SPA | @0 Inteligencia artificial @5 07 |
---|
C03 | 03 | X | FRE | @0 Système intelligent @5 08 |
---|
C03 | 03 | X | ENG | @0 Intelligent system @5 08 |
---|
C03 | 03 | X | SPA | @0 Sistema inteligente @5 08 |
---|
C03 | 04 | X | FRE | @0 Système temporisé @5 18 |
---|
C03 | 04 | X | ENG | @0 Timed system @5 18 |
---|
C03 | 04 | X | SPA | @0 Sistema temporizado @5 18 |
---|
C03 | 05 | X | FRE | @0 Inélasticité @5 19 |
---|
C03 | 05 | X | ENG | @0 Inelasticity @5 19 |
---|
C03 | 05 | X | SPA | @0 Inelasticidad @5 19 |
---|
C03 | 06 | X | FRE | @0 Plasticité @5 20 |
---|
C03 | 06 | X | ENG | @0 Plasticity @5 20 |
---|
C03 | 06 | X | SPA | @0 Plasticidad @5 20 |
---|
C03 | 07 | X | FRE | @0 Sensibilité tactile @5 21 |
---|
C03 | 07 | X | ENG | @0 Tactile sensitivity @5 21 |
---|
C03 | 07 | X | SPA | @0 Sensibilidad tactil @5 21 |
---|
C03 | 08 | X | FRE | @0 Système biologique @5 22 |
---|
C03 | 08 | X | ENG | @0 Biological system @5 22 |
---|
C03 | 08 | X | SPA | @0 Sistema biológico @5 22 |
---|
C03 | 09 | X | FRE | @0 Méthode adaptative @5 23 |
---|
C03 | 09 | X | ENG | @0 Adaptive method @5 23 |
---|
C03 | 09 | X | SPA | @0 Método adaptativo @5 23 |
---|
C03 | 10 | X | FRE | @0 Changement coordonnée @5 24 |
---|
C03 | 10 | X | ENG | @0 Transformation of coordinates @5 24 |
---|
C03 | 10 | X | SPA | @0 Cambio coordenadas @5 24 |
---|
C03 | 11 | X | FRE | @0 Réseau neuronal @5 25 |
---|
C03 | 11 | X | ENG | @0 Neural network @5 25 |
---|
C03 | 11 | X | SPA | @0 Red neuronal @5 25 |
---|
C03 | 12 | X | FRE | @0 . @4 INC @5 82 |
---|
N21 | | | | @1 290 |
---|
N44 | 01 | | | @1 OTO |
---|
N82 | | | | @1 OTO |
---|
|
pR |
A30 | 01 | 1 | ENG | @1 ICNC : international conference on advances in natural computation @2 1 @3 Changsha CHN @4 2005-08-27 |
---|
|
Format Inist (serveur)
NO : | PASCAL 05-0422213 INIST |
ET : | Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm |
AU : | QINGXIANG WU; MCGINNITY (T. M.); MAGUIRE (L. P.); BELATRECHE (A.); GLACKIN (B.); WANG LIPO; CHEN KE; ONG YEW SOON |
AF : | School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry/BT48 7JL, N.Ireland/Royaume-Uni (1 aut., 2 aut., 3 aut., 4 aut., 5 aut.) |
DT : | Publication en série; Congrès; Niveau analytique |
SO : | Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2005; Vol. 3610; Part 1, 420-428; Bibl. 22 ref. |
LA : | Anglais |
EA : | A spiking neural network (SNN) model trained with spiking-timing-dependent-plasticity (STDP) is proposed to perform a 2D co-ordinate transformation of the polar representation of an arm position to a Cartesian representation in order to create a virtual image map of a haptic input. The position of the haptic input is used to train the SNN using STDP such that after learning the SNN can perform the co-ordinate transformation to generate a representation of the haptic input with the same co-ordinates as a visual image. This principle can be applied to complex co-ordinate transformations in artificial intelligent systems to process biological stimuli. |
CC : | 001D02C |
FD : | Image virtuelle; Intelligence artificielle; Système intelligent; Système temporisé; Inélasticité; Plasticité; Sensibilité tactile; Système biologique; Méthode adaptative; Changement coordonnée; Réseau neuronal; . |
ED : | Virtual image; Artificial intelligence; Intelligent system; Timed system; Inelasticity; Plasticity; Tactile sensitivity; Biological system; Adaptive method; Transformation of coordinates; Neural network |
SD : | Imagen virtual; Inteligencia artificial; Sistema inteligente; Sistema temporizado; Inelasticidad; Plasticidad; Sensibilidad tactil; Sistema biológico; Método adaptativo; Cambio coordenadas; Red neuronal |
LO : | INIST-16343.354000124507310540 |
ID : | 05-0422213 |
Links to Exploration step
Pascal:05-0422213
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm</title>
<author><name sortKey="Qingxiang Wu" sort="Qingxiang Wu" uniqKey="Qingxiang Wu" last="Qingxiang Wu">QINGXIANG WU</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Mcginnity, T M" sort="Mcginnity, T M" uniqKey="Mcginnity T" first="T. M." last="Mcginnity">T. M. Mcginnity</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Maguire, L P" sort="Maguire, L P" uniqKey="Maguire L" first="L. P." last="Maguire">L. P. Maguire</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Belatreche, A" sort="Belatreche, A" uniqKey="Belatreche A" first="A." last="Belatreche">A. Belatreche</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Glackin, B" sort="Glackin, B" uniqKey="Glackin B" first="B." last="Glackin">B. Glackin</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">05-0422213</idno>
<date when="2005">2005</date>
<idno type="stanalyst">PASCAL 05-0422213 INIST</idno>
<idno type="RBID">Pascal:05-0422213</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000E54</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm</title>
<author><name sortKey="Qingxiang Wu" sort="Qingxiang Wu" uniqKey="Qingxiang Wu" last="Qingxiang Wu">QINGXIANG WU</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Mcginnity, T M" sort="Mcginnity, T M" uniqKey="Mcginnity T" first="T. M." last="Mcginnity">T. M. Mcginnity</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Maguire, L P" sort="Maguire, L P" uniqKey="Maguire L" first="L. P." last="Maguire">L. P. Maguire</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Belatreche, A" sort="Belatreche, A" uniqKey="Belatreche A" first="A." last="Belatreche">A. Belatreche</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Glackin, B" sort="Glackin, B" uniqKey="Glackin B" first="B." last="Glackin">B. Glackin</name>
<affiliation><inist:fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
<imprint><date when="2005">2005</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adaptive method</term>
<term>Artificial intelligence</term>
<term>Biological system</term>
<term>Inelasticity</term>
<term>Intelligent system</term>
<term>Neural network</term>
<term>Plasticity</term>
<term>Tactile sensitivity</term>
<term>Timed system</term>
<term>Transformation of coordinates</term>
<term>Virtual image</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Image virtuelle</term>
<term>Intelligence artificielle</term>
<term>Système intelligent</term>
<term>Système temporisé</term>
<term>Inélasticité</term>
<term>Plasticité</term>
<term>Sensibilité tactile</term>
<term>Système biologique</term>
<term>Méthode adaptative</term>
<term>Changement coordonnée</term>
<term>Réseau neuronal</term>
<term>.</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">A spiking neural network (SNN) model trained with spiking-timing-dependent-plasticity (STDP) is proposed to perform a 2D co-ordinate transformation of the polar representation of an arm position to a Cartesian representation in order to create a virtual image map of a haptic input. The position of the haptic input is used to train the SNN using STDP such that after learning the SNN can perform the co-ordinate transformation to generate a representation of the haptic input with the same co-ordinates as a visual image. This principle can be applied to complex co-ordinate transformations in artificial intelligent systems to process biological stimuli.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0302-9743</s0>
</fA01>
<fA05><s2>3610</s2>
</fA05>
<fA08 i1="01" i2="1" l="ENG"><s1>Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG"><s1>Advances in natural computation : Changsha, 27-29 August 2005</s1>
</fA09>
<fA11 i1="01" i2="1"><s1>QINGXIANG WU</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>MCGINNITY (T. M.)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>MAGUIRE (L. P.)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>BELATRECHE (A.)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>GLACKIN (B.)</s1>
</fA11>
<fA12 i1="01" i2="1"><s1>WANG LIPO</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="02" i2="1"><s1>CHEN KE</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="03" i2="1"><s1>ONG YEW SOON</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01"><s1>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry</s1>
<s2>BT48 7JL, N.Ireland</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</fA14>
<fA20><s2>Part 1, 420-428</s2>
</fA20>
<fA21><s1>2005</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA26 i1="01"><s0>3-540-28323-4</s0>
</fA26>
<fA43 i1="01"><s1>INIST</s1>
<s2>16343</s2>
<s5>354000124507310540</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2005 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>22 ref.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>05-0422213</s0>
</fA47>
<fA60><s1>P</s1>
<s2>C</s2>
</fA60>
<fA64 i1="01" i2="1"><s0>Lecture notes in computer science</s0>
</fA64>
<fA66 i1="01"><s0>DEU</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>A spiking neural network (SNN) model trained with spiking-timing-dependent-plasticity (STDP) is proposed to perform a 2D co-ordinate transformation of the polar representation of an arm position to a Cartesian representation in order to create a virtual image map of a haptic input. The position of the haptic input is used to train the SNN using STDP such that after learning the SNN can perform the co-ordinate transformation to generate a representation of the haptic input with the same co-ordinates as a visual image. This principle can be applied to complex co-ordinate transformations in artificial intelligent systems to process biological stimuli.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>001D02C</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Image virtuelle</s0>
<s5>06</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Virtual image</s0>
<s5>06</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Imagen virtual</s0>
<s5>06</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Intelligence artificielle</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Artificial intelligence</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Inteligencia artificial</s0>
<s5>07</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Système intelligent</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Intelligent system</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Sistema inteligente</s0>
<s5>08</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Système temporisé</s0>
<s5>18</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Timed system</s0>
<s5>18</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Sistema temporizado</s0>
<s5>18</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Inélasticité</s0>
<s5>19</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Inelasticity</s0>
<s5>19</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Inelasticidad</s0>
<s5>19</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Plasticité</s0>
<s5>20</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Plasticity</s0>
<s5>20</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Plasticidad</s0>
<s5>20</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Sensibilité tactile</s0>
<s5>21</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Tactile sensitivity</s0>
<s5>21</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Sensibilidad tactil</s0>
<s5>21</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Système biologique</s0>
<s5>22</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Biological system</s0>
<s5>22</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Sistema biológico</s0>
<s5>22</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Méthode adaptative</s0>
<s5>23</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Adaptive method</s0>
<s5>23</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Método adaptativo</s0>
<s5>23</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Changement coordonnée</s0>
<s5>24</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Transformation of coordinates</s0>
<s5>24</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Cambio coordenadas</s0>
<s5>24</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Réseau neuronal</s0>
<s5>25</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Neural network</s0>
<s5>25</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Red neuronal</s0>
<s5>25</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>.</s0>
<s4>INC</s4>
<s5>82</s5>
</fC03>
<fN21><s1>290</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
<pR><fA30 i1="01" i2="1" l="ENG"><s1>ICNC : international conference on advances in natural computation</s1>
<s2>1</s2>
<s3>Changsha CHN</s3>
<s4>2005-08-27</s4>
</fA30>
</pR>
</standard>
<server><NO>PASCAL 05-0422213 INIST</NO>
<ET>Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm</ET>
<AU>QINGXIANG WU; MCGINNITY (T. M.); MAGUIRE (L. P.); BELATRECHE (A.); GLACKIN (B.); WANG LIPO; CHEN KE; ONG YEW SOON</AU>
<AF>School of Computing and Intelligent Systems, University of Ulster, Magee Campus Derry/BT48 7JL, N.Ireland/Royaume-Uni (1 aut., 2 aut., 3 aut., 4 aut., 5 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2005; Vol. 3610; Part 1, 420-428; Bibl. 22 ref.</SO>
<LA>Anglais</LA>
<EA>A spiking neural network (SNN) model trained with spiking-timing-dependent-plasticity (STDP) is proposed to perform a 2D co-ordinate transformation of the polar representation of an arm position to a Cartesian representation in order to create a virtual image map of a haptic input. The position of the haptic input is used to train the SNN using STDP such that after learning the SNN can perform the co-ordinate transformation to generate a representation of the haptic input with the same co-ordinates as a visual image. This principle can be applied to complex co-ordinate transformations in artificial intelligent systems to process biological stimuli.</EA>
<CC>001D02C</CC>
<FD>Image virtuelle; Intelligence artificielle; Système intelligent; Système temporisé; Inélasticité; Plasticité; Sensibilité tactile; Système biologique; Méthode adaptative; Changement coordonnée; Réseau neuronal; .</FD>
<ED>Virtual image; Artificial intelligence; Intelligent system; Timed system; Inelasticity; Plasticity; Tactile sensitivity; Biological system; Adaptive method; Transformation of coordinates; Neural network</ED>
<SD>Imagen virtual; Inteligencia artificial; Sistema inteligente; Sistema temporizado; Inelasticidad; Plasticidad; Sensibilidad tactil; Sistema biológico; Método adaptativo; Cambio coordenadas; Red neuronal</SD>
<LO>INIST-16343.354000124507310540</LO>
<ID>05-0422213</ID>
</server>
</inist>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000E54 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000E54 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= PascalFrancis
|étape= Corpus
|type= RBID
|clé= Pascal:05-0422213
|texte= Adaptive Co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm
}}
| This area was generated with Dilib version V0.6.23. Data generation: Mon Jun 13 01:09:46 2016. Site generation: Wed Mar 6 09:54:07 2024 | |