Search alternatives:
greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » large increases (Expand Search), large degree (Expand Search)
a large » _ large (Expand Search)
greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » large increases (Expand Search), large degree (Expand Search)
a large » _ large (Expand Search)
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Normalized synergy increased with greater recurrence and decreased with greater feedback.
Published 2021“…The background heatmap, wherein brighter colors reflect larger normalized synergy values, replots the central tendency of the values shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009196#pcbi.1009196.g003" target="_blank">Fig 3</a>. …”
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<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>"
Published 2025“…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”
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Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients.
Published 2025“…This decrease was larger in the disconnected than in the contralateral cortex. …”
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Marking example.
Published 2024“…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
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