A realistic computational model of the local circuitry of the cuneate nucleus
View/ Open
Use this link to cite
http://hdl.handle.net/2183/235Collections
- GI-NEURO - Artigos [165]
Metadata
Show full item recordTitle
A realistic computational model of the local circuitry of the cuneate nucleusDate
2001Citation
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
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.
Rights
The original publication is avaliable at www.springerlink.com The original publication is avaliable at www.springerlink.com
ISSN
0302-9743