Review



complex gaussian wavelet  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 96
      Buy from Supplier

    Structured Review

    MathWorks Inc complex gaussian wavelet
    Complex Gaussian Wavelet, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 958 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/continuous+complex+gaussian+wavelet+transform/Wavelet+Toolbox/pm33442826-112-16-20
    Average 96 stars, based on 958 article reviews
    complex gaussian wavelet - by Bioz Stars, 2026-11
    96/100 stars

    Images

    Related Articles

    other:

    Article Title: Feature-Based Machine-Learning Spike Marking in Signal and Source Space EEG: A Proof-of-Principle Case Study of Focal Epilepsy.
    Article Snippet: Following the implementation of the wentropy function in MATLAB’s Wavelet Toolbox (accessed on 10 November 2024) (https://www.

    Article Title: Unsupervised Dynamic Time Warping Clustering for Robust Functional Network Identification in fNIRS Motor Tasks.
    Article Snippet: First, a Wavelet Motion Correction was performed using the MATLAB R2025a Wavelet Toolbox functions wavedec and waverec.

    Article Title: Secondary exploratory discrete wavelet analysis of the electroretinogram in adults with ADHD.
    Article Snippet: Background: Conventional electroretinographic (ERG) analyses identified sex-specific retinal differences in adults with attention-deficit/hyperactivity disorder (ADHD).. We applied the discrete wavelet transform (DWT) to the same recordings to characterize multiscale time–frequency features.. Methods: ERGs from 25 adults with ADHD and 25 ageand sex-matched controls (16 female and 9 male pairs) were analyzed at seven flash intensities.

    Article Title: The role of romantic relationships in socially shared retrieval-induced forgetting: Cognitive and neural evidence.
    Article Snippet: The current study investigated how romantic relationships affected socially shared memory in heterosexual couples.. Experiment 1 explored the influence of material sharing and intimacy on shared memory.. Both romantic pairs and strangers showed memory effects from retrieval practice, but socially shared retrieval-induced forgetting occurred only in romantic pairs.

    Article Title: High frequency electrical stimulation paces fast spiking interneurons and modulates cellular information processing
    Article Snippet: Vm spectral power was estimated using a continuous wavelet transform with the Morse wavelet function, implemented in MATLAB’s cwt , across a frequency range of 1-200 Hz.

    Article Title: Shaping inter-brain plasticity: A feasibility study of enhancing inter-brain synchrony with dyadic neurofeedback
    Article Snippet: We calculated coherence for each pair of homologous ROIs (e.g., left IFG of Participant A and left IFG of Participant B) across dyads, and the coherence between all possible ROIs in individual brains, using MATLAB's Wavelet Coherence Toolbox.

    Article Title: Longitudinal links between parenting and children's psychological functioning: The role of parent-child interbrain synchrony.
    Article Snippet: Parenting is known to shape child development, yet the neural processes through which parent–child interaction supports development remain unclear.. This longitudinal study tested whether autonomy support and emotional warmth predicted parent–child interbrain synchrony and whether synchrony prospectively predicted children’s psychological functioning 1 year later.. Using functional near-infrared spectroscopy hyperscanning with 105 families (Mchild age = 6.6 years old), with data collection began in May 2023, interbrain synchrony was computed as wavelet transform coherence across corresponding prefrontal and temporal channels during a dyadic block-building task.



    Similar Products

    continuous complex gaussian wavelet transform  (MathWorks Inc)
    90
    MathWorks Inc continuous complex gaussian wavelet transform
    Continuous Complex Gaussian Wavelet Transform, 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/continuous+complex+gaussian+wavelet+transform/pmc08328517-249-8-27
    Average 90 stars, based on 1 article reviews
    continuous complex gaussian wavelet transform - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier
    continuous complex gaussian wavelet transforms  (MathWorks Inc)
    90
    MathWorks Inc continuous complex gaussian wavelet transforms
    (A) Slow trend and surrogate data of one participant. The slow trend is the slow trend of congruent condition in the FFA, there were 18 different slow trends; the surrogate data were generated by adding a <t>Gaussian</t> curve peaked at 400 ms and white noise (different for each participant) to the slow trend for each participant. Thus, 18 sets of surrogate data were generated. Subsequent analyses of these surrogate data are identical to how we analyzed the real data. (B) Left: Averaged surrogate data ( n =18, mean ± SEM), smoothed (60 ms bin) as a function of mask-to-probe SOA (200-780 ms in steps of 20 ms). Middle: Slow trends averaged across participants. Right: Average smoothed-and-detrended data, extracted by subtracting slow trends shown in Middle from smoothed (60 ms bin) data shown in left (thick lines). (C) Average spectrum for detrended data (extracted by subtracting slow trends from the surrogate data without smoothing). The statistical threshold of significance ( p < 0.05, multiple comparison corrected) calculated by performing a permutation test was shown with a dashed line.
    Continuous Complex Gaussian Wavelet Transforms, 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/continuous+complex+gaussian+wavelet+transform/bio_rxiv__148635-194-26-43
    Average 90 stars, based on 1 article reviews
    continuous complex gaussian wavelet transforms - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    (A) Slow trend and surrogate data of one participant. The slow trend is the slow trend of congruent condition in the FFA, there were 18 different slow trends; the surrogate data were generated by adding a Gaussian curve peaked at 400 ms and white noise (different for each participant) to the slow trend for each participant. Thus, 18 sets of surrogate data were generated. Subsequent analyses of these surrogate data are identical to how we analyzed the real data. (B) Left: Averaged surrogate data ( n =18, mean ± SEM), smoothed (60 ms bin) as a function of mask-to-probe SOA (200-780 ms in steps of 20 ms). Middle: Slow trends averaged across participants. Right: Average smoothed-and-detrended data, extracted by subtracting slow trends shown in Middle from smoothed (60 ms bin) data shown in left (thick lines). (C) Average spectrum for detrended data (extracted by subtracting slow trends from the surrogate data without smoothing). The statistical threshold of significance ( p < 0.05, multiple comparison corrected) calculated by performing a permutation test was shown with a dashed line.

    Journal: bioRxiv

    Article Title: Fluctuations of fMRI activation patterns reveal theta-band dynamics of visual object priming

    doi: 10.1101/148635

    Figure Lengend Snippet: (A) Slow trend and surrogate data of one participant. The slow trend is the slow trend of congruent condition in the FFA, there were 18 different slow trends; the surrogate data were generated by adding a Gaussian curve peaked at 400 ms and white noise (different for each participant) to the slow trend for each participant. Thus, 18 sets of surrogate data were generated. Subsequent analyses of these surrogate data are identical to how we analyzed the real data. (B) Left: Averaged surrogate data ( n =18, mean ± SEM), smoothed (60 ms bin) as a function of mask-to-probe SOA (200-780 ms in steps of 20 ms). Middle: Slow trends averaged across participants. Right: Average smoothed-and-detrended data, extracted by subtracting slow trends shown in Middle from smoothed (60 ms bin) data shown in left (thick lines). (C) Average spectrum for detrended data (extracted by subtracting slow trends from the surrogate data without smoothing). The statistical threshold of significance ( p < 0.05, multiple comparison corrected) calculated by performing a permutation test was shown with a dashed line.

    Article Snippet: To assess MVPA classification accuracies as a function of time (mask-to-probe SOA) and frequency, the detrended temporal profile for each condition was transformed using the continuous complex Gaussian wavelet (order = 4; e.g., FWHM =1.32 s for 1 Hz wavelet) transforms (Wavelet toolbox, MATLAB), with frequencies ranging from 1 to 25 Hz in steps of 2 Hz.

    Techniques: Generated, Comparison