fitcnb function in matlab r2021b (MathWorks Inc)

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MathWorks Inc fitcnb function in matlab r2021b
Fitcnb Function In Matlab R2021b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fitcnb+function/pm39362936-201-12-12
Average 90 stars, based on 1 article reviews

fitcnb function in matlab r2021b - by Bioz Stars, 2026-10

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Article Title: Temporal information of subsecond sensory stimuli in primary visual cortex is encoded via high dimensional population vectors
Article Snippet: To determine how similar or different the dynamics of the network was over the trial periods, we used a Multinomial Naive Bayes classifier to determine whether a given time bin’s dynamic was discriminable from another time bin’s, e.g. . We used the fitcnb function in MATLAB.

Article Title: Driving drowsiness detection using spectral signatures of EEG-based neurophysiology.
Article Snippet: The two presets for numeric predictors are the Gaussian NB and kernel NB which are applied here using the fitcnb function of MATLAB.

Article Title: Neural circuit dynamics of drug-context associative learning in the mouse hippocampus
Article Snippet: To estimate P(X i | Y = y), we applied the built-in function of MATLAB fitcnb() to fit a multinomial distribution using the bag-of-tokens model with Laplace smoothing, which gave an estimation of distribution parameter for each neuron X i at the given spatial bin y as: 6 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{\rm{\theta }}}}}}\left({{{{{{\rm{X}}}}}}}_{{{{{{\rm{i}}}}}}}|{{{{{\rm{Y}}}}}}={{{{{\rm{y}}}}}}\right)=\frac{\mathop{\sum }\nolimits_{{{{{{\rm{j}}}}}}=1}^{{{{{{\rm{M}}}}}}}\big({{{{{{\rm{X}}}}}}}_{{{{{{\rm{i}}}}}}}=\,{{{{{{\rm{X}}}}}}}_{{{{{{\rm{i}}}}}}}|{{{{{{\rm{Y}}}}}}}^{({{{{{\rm{j}}}}}})}={{{{{\rm{y}}}}}}\big)+1}{\mathop{\sum }\nolimits_{{{{{{\rm{k}}}}}}=1}^{{{{{{\rm{N}}}}}}}\mathop{\sum }_{{{{{{\rm{j}}}}}}=1}^{{{{{{\rm{M}}}}}}}\big({{{{{{\rm{X}}}}}}}_{{{{{{\rm{i}}}}}}}={{{{{{\rm{X}}}}}}}_{{{{{{\rm{k}}}}}}}|{{{{{{\rm{Y}}}}}}}^{({{{{{\rm{j}}}}}})}={{{{{\rm{y}}}}}}\big)+{{{{{\rm{N}}}}}}},$$\end{document} θ X i ∣ Y = y = ∑ j = 1 M X i = X i ∣ Y ( j ) = y + 1 ∑ k = 1 N ∑ j = 1 M X i = X k ∣ Y ( j ) = y + N , where, regardless of the Laplace smoothing, the numerator is the total number of spikes of neuron X i for the time bins that the animal is at location y, and the denominator is the total number of spikes of all the neurons for the time bins that the animals is at location y.

Article Title: Dynamic amplitude modulation of microstimulation evokes biomimetic onset and offset transients and reduces depression of evoked calcium responses in sensory cortices.
Article Snippet: Bayesian classifiers, using Bayes’ theorem to assign observations to the most probable class [93], were trained using the “fitcnb” function in MATLAB and classification scores were returned using the “resubPredict” function.

Article Title: Temporal information of subsecond sensory stimuli in primary visual cortex is encoded via high dimensional population vectors
Article Snippet: The fitcnb function in MATLAB was used.

Article Title: Threat-dependent scaling of prelimbic dynamics to enhance fear representation.
Article Snippet: Loss function: negative log-likelihood loss Optimization method: Adam Using the Matlab ‘‘fitcnb’’ function, we fitted a naı̈ve Bayesian classifier to normalized prediction scores of CFC1 and CFC2 (2 data points per animal), and obtained the corresponding fitted probability density functions.

Article Title: Temporal information of subsecond sensory stimuli in primary visual cortex is encoded via high dimensional population vectors
Article Snippet: Multinomial Naive Bayes classifiers were used to predict trial outcome from neural data using the fitcnb function in MATLAB.

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Article Title: A stable hippocampal code in freely flying bats
Article Snippet: .. We devised a constrained naive Bayesian decoder 57 to predict the flight path membership from neural activity, using the fitcnb function in MATLAB ( , ). ..

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