Sentence examples for sensory estimates from inspiring English sources

Sensory estimates are subject to two types of error: random measurement error and bias.

In the MLE approach [7], sensory estimates of an environmental property can be represented by where is the physical property being estimated, is the operation the nervous system performs to derive the estimate, and is the perceptual estimate.

Rather, it depends on there being two independent sensory estimates.

This uncertainty can lead to errors in sensory estimates and consequently to movement variability [18].

For instance, sensory integration could be achieved via a summation of two initially independent sensory estimates.

This may imply that sensory estimates can become integrated via MLE at a decision-level of analysis.

Instead, the initial sensory estimate could be determined via a process that takes direct input from multiple sensory modalities.

This could either be achieved by realigning the noisy sensory estimate of delay toward a 'synchrony prior' [28], changing the synchrony prior in the light of adaptation [29], [30] or manipulating the Bayesian combination of both with an additional noisy estimate based on current context [31].

Whilst sensory combination increases the amount of information from different sensory sources, sensory integration is a strategy which reduces the variance of the sensory estimate, thus boosting its reliability.

The exact size of this effect depended on the number of sensory streams that were tracked, but the distribution always narrowed provided the sensory estimate was not substantially biased.

The stochastic change model makes the contrasting prediction, with deviations scaling with the mean for purely sensory estimation and therefore also when sensory and internal estimates are combined.