Results 241 to 250 of about 25,949 (265)

Quantal analysis using maximum entropy noise deconvolution

Journal of Neuroscience Methods, 1992
When applying quantal analysis to synaptic transmission it is often unclear how much of the measured postsynaptic signal fluctuation arises from random sampling and noise rather than from the probabilistic transmitter release process. Unconstrained noise deconvolution methods do not overcome this because they tend to overfit the data, often giving a ...
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The Angular Transformation in Quantal Analysis

Biometrics, 1953
The angular transformation may be used in two ways in the analysis of quantal data. Transformation of the observed response (Eisenhart, 1947) leads to a quick noniterative but approximate solution. If the expected response is transformed, an exact iterative maximum likelihood solution is available.
P. J. Claringbold, J. D. Biggers, C. W. Emmens   +2 more
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Quantal Response Analysis for a Mixture of Populations

Biometrics, 1972
SUMMARY This paper is concerned with the biological assay of a mixture of populations which cannot be differentiated on the basis of their external characteristics. It is shown that the overall dosage-response relation may be expressed in terms of the corresponding relations for the separate populations and of the proportion of each present in the ...
J R, Ashford, P J, Walker
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Generalized analysis of quantal dose-response curves

Computers and Biomedical Research, 1973
Abstract Statistical advances now have broadened the scope of quantal dose-response analysis. Currently used probit and logit techniques suffer from two drawbacks, of which their inability to handle 0% and 100% responses is particularly troublesome. As a consequence, observations must be bunched into dose groups.
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Quantal analysis and synaptic efficacy in the CNS

Trends in Neurosciences, 1991
Quantal analysis of synaptic transmission at connections between neurons in the CNS has provided insights concerning the structural constraints on transmitter release and postsynaptic responsiveness. However, it has proven difficult in many cases to resolve the size and variability of a single quantum or to distinguish clear peaks in amplitude ...
H, Korn, D S, Faber
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Making quantal analysis easier and more accurate

Journal of Neuroscience Methods, 1997
Problems inherent in applying quantal analysis to synapses are discussed. These include the dispersion in time of the evoked quantal releases and the skew to the right in the distribution of the sizes of the spontaneous miniature potentials. To circumvent some of the problems, quantal analysis was performed at the neuromuscular junction by dividing ...
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On Conjoint Analysis and Quantal Choice Models

The Journal of Business, 1980
Conjoint analysis (or trade-off analysis) has become increasingly used in marketing. Essentially, the techniques attempt to parse the appeals of a product or concept into a set of factors, assign utility values to the separate levels of each factor, and finally, under the assumption of separability, determine the utility value of any product or concept
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Quantal Analysis of Hippocampal Long-Term Potentiation

Reviews in the Neurosciences, 1994
Long-term potentiation (LTP) is a lasting (hours, days) increase in electrical responses after brief (seconds) high-frequency activation of monosynaptic pathways. It represents a popular model to study mechanisms of learning and memory. There is a general agreement on mechanisms of LTP induction, at least for LTP in hippocampal area CA1.
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Quantile Function Models for Quantal Response Analysis

Biometrical Journal, 1990
AbstractThe usual analysis of quantal response data occurring in diverse fields such as economics, medicine, psychology and toxicology use probit and logit models or their extensions with generalized least squares or the principle of likelihood as the method of statistical inference.
Govind S. Mudholkar, Mohan V. Phatak
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Bayesian analysis of dichotomous quantal response models

Journal of Econometrics, 1984
Qualitative response models (QRM's) are analyzed from the Bayesian point of view, using diffuse and informative prior distributions. Exact finite- sample Bayesian and large-sample Bayesian and non-Bayesian estimation results are compared. In addition, the paper provides: (1) plots and discussion of the properties of likelihood functions for QRM's, (2 ...
Zellner, Arnold, Rossi, Peter E.
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