Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings



Downloads per month over past year

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

[thumbnail of Makarov21.pdf] PDF
Restringido a Repository staff only


Official URL:


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.

Item Type:Article
Additional Information:

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

Uncontrolled Keywords:Integrate and fire neuron; Neural network models; Spike trains; Dorsal column nuclei; Spike trains; Connectivity; Models; Rat
Subjects:Sciences > Mathematics > Group Theory
ID Code:16815
Deposited On:23 Oct 2012 08:23
Last Modified:12 Dec 2018 15:07

Origin of downloads

Repository Staff Only: item control page