E-Prints Complutense

Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings

Impacto

Descargas

Último año



Makarov, Valeri A. y Castellanos, Nazareth P. (2006) Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings. Proceedings of World Academy of Science Engineering and Technology, 15 . 31-36 . ISSN 1307-6884

[img] PDF
Restringido a Sólo personal autorizado del repositorio hasta 31 Diciembre 2020.

923kB

URL Oficial: http://www.waset.org/journals/waset/v15/v15-122.pdf


URLTipo de URL
http://www.waset.org/Editorial


Resumen

Statistical analysis of electrophysiological recordings obtained under, e.g. tactile, stimulation frequently suggests participation in the network dynamics of experimentally unobserved "hidden" neurons. Such interneurons making synapses to experimentally recorded neurons may strongly alter their dynamical responses to the stimuli. We propose a mathematical method that formalizes this possibility and provides an algorithm for inferring on the presence and dynamics of hidden neurons based on fitting of the experimental data to spike trains generated by the network model. The model makes use of Integrate and Fire neurons "chemically" coupled through exponentially decaying synaptic currents. We test the method on simulated data and also provide an example of its application to the experimental recording from the Dorsal Column Nuclei neurons of the rat under tactile stimulation of a hind limb.


Tipo de documento:Artículo
Información Adicional:

Conference of the World-Academy-of-Science-Engineering-and-Technology. Barcelona, SPAIN. OCT 22-24, 2006.

Palabras clave:Integrate and fire neuron; Neural network models; Spike trains; Dorsal column nuclei; Spike trains; Connectivity; Models; Rat
Materias:Ciencias > Matemáticas > Grupos (Matemáticas)
Código ID:16815
Depositado:23 Oct 2012 08:23
Última Modificación:28 Jun 2016 13:54

Descargas en el último año

Sólo personal del repositorio: página de control del artículo