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In Figure 9, the PLL converges roughly without using the CSI, and rough CFR can be achieved without using the CSI.

The intermediate performance z LC=1−y LC,h converges roughly with respect to a constant number of decoding iterations h (according to the following simulations, h=40 is adequate for convergence).

Eight parameter MD specifications that allow separate learning for each level of each symptom also converged roughly to the basic specification presented above, but we detect a general bias towards overresponding to the more informative symptom levels and underresponding to the less informative symptom levels.

After 16 trials the parameters converged roughly to the values used to construct the control environment.

Physical interactions ensure that they redistribute themselves after initialization, such that the average intersomatic distance converges to roughly 22 μm.

Although the algorithm converges on roughly the same optimality score (it is numerically stable), there is substantial variation in parameter values.

When a large number of quasirandom numbers are used, however, we find that most of the expectation values converge at roughly the same rate as those computed using pseudorandom numbers.

In contrast, the optimization starting from a pre-optimized pulse has no plateau (note the log-scale of the x-axis); both (J_{T}^{mathrm {sm}}) and (J_{T}^{mathrm {geo}}) converge at roughly the same rate.

Moreover, the fact that latencies exhibited by the four groups converged by roughly the third day of training indicates that the initial differences are unlikely to be due to differences in swim rates or their ability to detect sensory cues.

For R = 1.05, the MLE failed to converge in roughly 20% of the simulated data sets.

This was critical, as it increased the number of models that converged from roughly 10% (when 1 μM was used uniformly) to nearly 100%.