A Non-Homogeneous Binomial Model for Thalamic Oscillations

Abstract

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 inter-stimulus 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

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410161

Entities

People

  • J. Muthuswamy
  • Tianhong Wang

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Binomials
  • Bioengineering
  • Brain
  • Cross Correlation
  • Engineering
  • Estimators
  • Firing Rate
  • Frequency
  • Histograms
  • Neurosciences
  • Oscillation
  • Power Spectra
  • Resonance
  • Statistics
  • Thalamus
  • Universities

Fields of Study

  • Biology
  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Neuroscience
  • Statistical inference.