Sentence examples for error signal that from inspiring English sources

At first the translations it produces are nonsense, but a feedback loop provides an error signal that allows the position of each word to be refined until eventually the positions of words in the cloud captures the way humans use them – effectively a map of their meanings.

For the LMS filter, the optimum weights are obtained iteratively by minimising the MSE of an error signal that is the difference between the filter output and the output of an ideal filter that meets the design specifications exactly.

and (bar {gamma } in mathbb {R}_) is the upper bound for the magnitude of the error signal that is acceptable and it is usually chosen as a multiple of the noise standard deviation σ n [2, 10].

We have firstly derived the analytical S-curve, defined as the conditional expectation of the error signal that controls the loop, and we have deduced an approximation of the asymptotic estimation error variance of the FD estimation algorithm.

In this paper, as we focus on the FD estimator, we assume a constant complex channel gain and we derive analytic formulae of the S-curve of the FD detector [14] (defined as the expectation of the so-called error signal that updates the FD estimation).

The basic principle that underlies homeostasis is negative feedback: any time a parameter diverges from its set-point, sensors generate an error signal that evokes a response that causes the parameter to shift back toward its optimum value.

On this view, positive matches in the comparator system generate a sense of agency, whereas mismatches generate error signals that disrupt the sense of agency.

This architecture would be consistent with the proposal that perception relies both on prediction signals (that would be enhanced by repetitions) and on prediction error signals (that would be reduced with repetitions; e.g. Mumford 1992; Friston 2005).

The connection between the IPL and cerebellar regions suggests that the IPL may receive cerebellar error signals that support the rapid, continual fine-tuning of control settings and decision making.

For example, striatum should still be able to generate prediction error signals that underlie response or cue learning, and thus rats will tend to switch to a response strategy after a hippocampal lesion (e.g. Packard and McGaugh, 1996).

These relations have been interpreted to reflect excessive or inappropriate error signalling that triggers a compulsion to repeat behaviours, even if they have already been successfully executed (Maltby et al., 2005).