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A realistic computational model of the local circuitry of the cuneate nucleus

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URI: http://hdl.handle.net/2183/235

Publication date

2001

Authors

Sánchez Vila, Eduardo
Barro Ameneiro, Senén
Canedo Lamas, Antonio

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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

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Academic degree

Abstract

[Abstract] Intracellular 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.

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The original publication is avaliable at www.springerlink.com

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Investigación (FCS)