RT Journal Article
T1 Inferring the Dynamics of "Hidden" Neurons from Electrophysiological Recordings
A1 Makarov Slizneva, Valeriy
A1 Castellanos, Nazareth P.
AB 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.
PB World Academy of Science, Engineering & Technology
SN 1307-6884
YR 2006
FD 2006
LK https://hdl.handle.net/20.500.14352/50155
UL https://hdl.handle.net/20.500.14352/50155
LA eng
NO Conference of the World-Academy-of-Science-Engineering-and-Technology. Barcelona, SPAIN. OCT 22-24, 2006.
NO Universidad Complutense de Madrid
NO Ministerio de Educacion y Ciencia (Ramón y Cajal)
DS Docta Complutense
RD 13 jul 2025