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lda (matlab 'fitcdiscr)  (MathWorks Inc)


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    MathWorks Inc lda (matlab 'fitcdiscr)
    Lda (Matlab 'Fitcdiscr), 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/lda+(matlab+fitcdiscr)/pmc11156468-423-2-3
    Average 90 stars, based on 1 article reviews
    lda (matlab 'fitcdiscr) - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Rule-based modulation of a sensorimotor transformation across cortical areas
    Article Snippet: We used LDA (MATLAB ‘fitcdiscr’) to measure how well population activity from simultaneously recorded neurons could decode (1) task rules (respond-to-touch vs respond-to-light) prior to stimulus delivery (−100 to 0 ms from the stimulus onset), (2) stimulus types (tactile vs visual stimuli) prior to stimulus delivery, and (3) stimulus types after stimulus onset (0–100 ms).

    Article Title: Temporal coding carries more stable cortical visual representations than firing rate over time
    Article Snippet: Trials from all days ( ) or the first 7 days ( ) for a particular stimulus type was then pooled before fitting a cross-validated, regularized LDA model (searching for best gamma with Bayesian optimization using MATLAB’s fitcdiscr function) to classify stimuli identity, e.g., which of the 16 directions for DG stimuli.

    Article Title: Risky choice: Probability weighting explains independence axiom violations in monkeys
    Article Snippet: We used a Linear Discriminant Analysis (LDA) classifier ( fitcdiscr function in Matlab) to predict the sign of the Preference Change measure S. We characterized the changes with a leave-one-out procedure using Linear Discriminant Analysis (LDA).

    Article Title: Rat orbitofrontal ensemble activity contains multiplexed but dissociable representations of value and task structure in an odor sequence task
    Article Snippet: We trained a linear discriminant analysis (LDA) algorithm (MATLAB function: fitcdiscr ) to classify 24 trial types or locations for each one of six task events.

    Article Title: Recruitment and disruption of ventral pallidal cue encoding during alcohol seeking
    Article Snippet: For single unit decoding, a linear discriminant analysis (LDA) model (the “fitcdiscr” function in Matlab) was trained on each neuron’s spike activity for 300ms bins from 900ms pre-cue to 3s post-cue on 80% of trials.

    Article Title: Predicting memory from study-related brain activity.
    Article Snippet: 31 32 To isolate brain activity that may reflect effective cognitive processes during the study 33 phase of a memory task, cognitive neuroscientists commonly contrast brain activity 34 during study of later-remembered versus later-forgotten items.. This “subsequent memory 35 effect” method has been described as identifying brain activity “predictive” of memory 36 outcome.. However, the modern field of machine learning distinguishes between 37 descriptive analysis, subject to overfitting, and true prediction, that can classify untrained 38 data.

    Activity Assay:

    Article Title: All-optical interrogation of brain-wide activity in freely swimming larval zebrafish
    Article Snippet: .. We then used the activity of these 566 brain regions to perform LDA analysis (using the MATLAB function fitcdiscr). ..

    Selection:

    Article Title: Classification of breast tumor models with a prototype microwave imaging system.
    Article Snippet: 1Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749–016–Lisbon, Portugal.. 2Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Portugal.. 3Translational Medical Device Lab, National University of Ireland Galway, Ireland.



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