Search alternatives:
nn decrease » mean decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
d decrease » _ decreased (Expand Search), _ decreases (Expand Search), a decreased (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search)
100 d » 100 μ (Expand Search), 100 _ (Expand Search), 100 g (Expand Search)
nn decrease » mean decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
d decrease » _ decreased (Expand Search), _ decreases (Expand Search), a decreased (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search)
100 d » 100 μ (Expand Search), 100 _ (Expand Search), 100 g (Expand Search)
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Performance of decoding-based estimators depends on the dimensionality of the response trajectories and on the number of response trajectory samples.
Published 2019“…<p>Performance of various model-free decoding estimators (colored lines) for Examples 1 <b>(A, D)</b>, 2 <b>(B, E)</b>, 3 <b>(C, F)</b>, respectively, compared to the MAP bound, <i>I</i><sub>MAP</sub> (black line), as a function of input trajectory dimension, <i>d</i> (at fixed <i>N</i> = 1000) in A, B, C; or as a function of the number of samples, <i>N</i>, per input condition (at fixed <i>d</i> = 100) in D, E, F. …”
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