2023-12-07T16:22:54Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/501552023-08-11T08:13:06Zcom_20.500.14352_14col_20.500.14352_15
Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings
Makarov, Valeri A.
Castellanos, Nazareth P.
Conference of the World-Academy-of-Science-Engineering-and-Technology. Barcelona, SPAIN. OCT 22-24, 2006.
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.
2023-06-20T09:40:21Z
2023-06-20T09:40:21Z
2006
journal article
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1307-6884
https://hdl.handle.net/20.500.14352/50155
http://www.waset.org/journals/waset/v15/v15-122.pdf
http://www.waset.org/
eng
PR1/06-14482-B
restricted access
World Academy of Science, Engineering & Technology