untitled
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<identifier>oai:HAL:hal-01165882v1</identifier>
<datestamp>2015-06-22</datestamp>
<setSpec>type:COMM</setSpec>
<setSpec>subject:info</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:IGS2015</setSpec>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>A neurocomputational model of spinal circuitry for controlling the execution of arm voluntary movements</title>
<creator>Parziale, Antonio</creator>
<creator>Festa, Jacopo</creator>
<creator>Marcelli, Angelo</creator>
<contributor>Natural Computation Lab, Department of Information Engineering, Electrical Engineering and Applied Mathematics ; University of Salerno (UNISA)</contributor>
<contributor>Universidade do Minho</contributor>
<description>International audience</description>
<source>17th Biennial Conference of the International Graphonomics Society</source>
<coverage>Pointe-à-Pitre, Guadeloupe</coverage>
<contributor>International Graphonomics Society (IGS)</contributor>
<contributor>Université des Antilles (UA)</contributor>
<contributor>Céline Rémi</contributor>
<contributor>Lionel Prévost</contributor>
<contributor>Eric Anquetil</contributor>
<identifier>hal-01165882</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165882</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165882/document</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165882/file/IGS_2015_submission_17.pdf</identifier>
<source>https://hal.univ-antilles.fr/hal-01165882</source>
<source>Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges</source>
<language>en</language>
<subject lang=en>musculoskeletal</subject>
<subject lang=en>degree-of-freedom</subject>
<subject lang=en>central nervous system (CNS)</subject>
<subject>[INFO] Computer Science [cs]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>We present a model of the spinal cord in controlling one degree-of-freedom arm movements. The model includes both neural and musculoskeletal functions in an integrated framework. The model has been implemented by an artificial neural network coupled with a computational model of muscle publicly available. The experimental results show that the model is able to regulate the position of the arm and to mediate reflex actions by integrating commands from CNS and signals from proprioceptors.</description>
<date>2015-06-21</date>
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