Sentence examples for stimulus value from inspiring English sources

Caudate neural recordings (n = 1) show that changes in value-coding neuron activity are stimulus value dependent.

The modulation of choice behavior using microstimulation was best modeled as resulting from changes in stimulus value.

Dr. Ford, whose earlier work had found no correlation between unusual names and lower academic achievement once you controlled for confounding variables, told me he was impressed with Dr. Figlio's research: I am inclined to conclude that there may in fact be some (very) specific circumstances in which the "social stimulus value" of a name is more than trivial.

At the cortical level, the anterior insular cortex, lateral orbital frontal cortex and anterior cingulate cortex, all have well established roles in signalling stimulus value across contexts, including appetitive choices, and in integrating food features that govern preferences (for example, the odour and flavour of food)5,6.

The graph shows the results of the mode value using the Winner-take-all in accordance to the stimulus value.

The two simple experiments suggest the validity of the Weber's proportionality between the error and stimulus value, at least in the tested domain of the length of text between a single sentence and a single page.

We argue that caudate microstimulation can differentially increase stimulus values independent of action, and unilateral manipulations of value are sufficient to mediate choice behavior.

Further comparisons suggested that the differences between attended changes and stimulus repetitions carried information about specific stimulus values, and did not simply reflect a generic response to attended changes.

In this chapter, we present the findings of a long-running Internet-based colour naming experiment, designed to collect unconstrained colour names in multiple languages with their corresponding stimulus values.

In either case, an experimenter's nominal stimulus condition can actually encompass a normally distributed range of effective stimulus values.

In practice, we estimate P by grouping stimuli into evenly spaced bins that span the range of stimulus values.