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 . 31-36 . ISSN 1307-6884
Restricted to Repository staff only until 31 December 2020.
Official URL: http://www.waset.org/journals/waset/v15/v15-122.pdf
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.
|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|
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|Deposited On:||23 Oct 2012 08:23|
|Last Modified:||07 Feb 2014 09:36|
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