The recovery of a random variable from a noisy record with application to the study of fluctuations in synaptic potentials.
Analysis of fluctuations in the amplitude of evoked synaptic potentials can be severely handicapped by the presence of spontaneous synaptic potentials and recording noise. A numerical procedure has been described whereby it is possible to remove some of the masking effects of this noise from the underlying distribution of the fluctuating synaptic potentials. it is not necessary to make an initial assumption about the type of distribution which will best describe the fluctuations. To use this technique, it is necessary to measure the histograms which approximate the probability densities of both the noise, and the noisy evoked potential. It is also necessary to assume that the statistical mechanisms generating the noise are independent of those mechanisms which cause the fluctuation in synaptic transmission, and that the noise and the evoked potentials add linearly. The statistical reliability of the technique depends upon the amount of noise present, and the sample size. Problems of resolution which arise from finite sampling and high noise levels are discussed.
D000344:Afferent Pathways / Q000502:physiology; D000818:Animals; D005071:Evoked Potentials; D009046:Motor Neurons / Q000502:physiology*; D011336:Probability; D051381:Rats; D013116:Spinal Cord / Q000502:physiology*; D013569:Synapses / Q000502:physiology*; D009435:Synaptic Transmission