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dc.contributor.authorSánchez Vila, Eduardo
dc.contributor.authorBarro Ameneiro, Senén
dc.contributor.authorMariño Alfonso, Xurxo
dc.contributor.authorCanedo Lamas, Antonio
dc.date.accessioned2005-11-17T18:02:43Z
dc.date.available2005-11-17T18:02:43Z
dc.date.issued2001
dc.identifier.citation6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Granada, Spain, June 13-15, 2001 : proceedings, José Mira, Alberto Prieto (eds.). Lecture notes in computer science, vol. 2084, p. 21-29es_ES
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2183/235
dc.description.abstractIntracellular recordings obtained under cutaneous and lemniscal stimulation show that the afferent fibers can establish excitatory and inhibitory synaptic connections with cuneothalamic neurons [5]. In addition, distinct types of recurrent collaterals with the capability of either exciting or inhibiting both cuneothalamic neurons and interneurons were also discovered [6]. With these data we have generated hypothesis about which circuits are implicated and also developed realistic computational models to test the hypothesis and study the cuneate properties [17,18]. The results show that the cuneate could perform spatial and temporal filtering and therefore detect dynamic edges.es_ES
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsThe original publication is avaliable at www.springerlink.comes_ES
dc.rightsThe original publication is avaliable at www.springerlink.com
dc.titleA realistic computational model of the local circuitry of the cuneate nucleuses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES


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