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By estimating parameters of the neural model, one might expect that the most accurately predicted physiological signals would correspond closely to the observed fMRI/EEG/MEG signals.
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Nevertheless, we think model-based methods are beneficial because we can extract the nature of the data by investigating estimated parameters of the models.
The tracking performance is also demonstrated by utilizing the estimated parameters of and in the previous data block and the computational task of estimating is omitted to reduce complexity.
Various parameter estimation techniques such as maximum likelihood estimation [41], prediction error minimization (PEM) [42], trust-region SQP algorithm [43] etc. have been used previously by researchers to estimate parameters of a model.
The analytical expression of the BER is therefore given by using the different estimated parameters of the Gaussian Mixture.
The analytical expression of the BER is therefore simply given by using the different estimated parameters of the Gaussian Mixture.
The validity of this method was proved by simulation, in which the estimated parameters of the error model are close to prearranged parameters.
Main Outcome Measures: By using an optimization technique, we estimated parameters of the proposed elbow biomechanic model as the candidate indicators of spasticity.
We began by selecting the significant (p ≤ 0.10) estimated parameters of the exogenous on the endogenous variables.
5 We illustrated our Bayesian estimation procedure by estimating the parameters of the information gain model using data from a meta-analysis of the Wason task (Oaksford & Chater, 1994).
However, statistical power for estimating parameters is limited by amount of available data, and the addition of parameters further reduces such power [ 36].
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