A realistic computational model of the local circuitry of the cuneate nucleus
Use this link to citehttp://hdl.handle.net/2183/235
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TitleA realistic computational model of the local circuitry of the cuneate nucleus
6th 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. 21-29
Intracellular recordings obtained under cutaneous and lemniscal stimulation show that the afferent fibers can establish excitatory and inhibitory synaptic connections with cuneothalamic neurons . In addition, distinct types of recurrent collaterals with the capability of either exciting or inhibiting both cuneothalamic neurons and interneurons were also discovered . 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.
The original publication is avaliable at www.springerlink.comThe original publication is avaliable at www.springerlink.com