A non-homogeneous binomial model for thalamic oscillations

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The thalamic ventral posterior lateral neurons (VPL) respond to somatosensory stimulation with a burst of action potentials followed by a periodic oscillation at the spindle frequency. This study aims to build a statistical model to quantify the multi-unit behavior and explain putative underlying mechanisms. Multi-unit data, comprising 4 or 5 different neurons, were collected from anesthetized adult rats (n=2) by positioning a microelectrode in the ventral posterior lateral (VPL) nuclei of the thalamus. Using an observation window of 1 ms and assuming that neuronal firing is uncorrelated within this window, the firing rate of the neurons can be successfully modeled by using a non-homogeneous binomial model with N=1 (with 99.5% confidence). Using maximum likelihood estimator (MLE) of the parameter p, statistically consistent prediction of the parameters of non-homogeneous binomial model was made using a minimum of 50 stimulus-response pairs. The interstimulus interval histograms of the individual neuronal firing indicate a possible stochastic resonance behavior that will model the spindles in thalamus. Our model offers a statistically elegant description of oscillations in neuronal action potential data and can in general, be used to track changes in the neuronal dynamics with function or dysfunction.

Original languageEnglish (US)
Title of host publicationAnnual Reports of the Research Reactor Institute, Kyoto University
Number of pages3
StatePublished - 2001
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001


Other23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society


  • Binomial model
  • Oscillation
  • Spindle
  • Stochastic resonance
  • Thalamus

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering


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