Search alternatives:
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
laser decrease » water decreases (Expand Search), teer decrease (Expand Search), asdr decreased (Expand Search)
cnn decrease » nn decrease (Expand Search), mean decrease (Expand Search), _ decrease (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
_ cnn » _ can (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
laser decrease » water decreases (Expand Search), teer decrease (Expand Search), asdr decreased (Expand Search)
cnn decrease » nn decrease (Expand Search), mean decrease (Expand Search), _ decrease (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
_ cnn » _ can (Expand Search)
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A Locally Linear Dynamic Strategy for Manifold Learning.
Published 2025“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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Biases in larger populations.
Published 2025“…(<b>B</b>) Minimum and maximum bias in a long 1D array with rectified cosine tuning. Bias expressed in terms of the distance between neurons in a linear population of equally spaced neurons. …”
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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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CNN model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
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