The first test was to determine whether the deficit found after PRh lesions on direct measures of object recognition can be overcome when the familiar object is repeatedly presented prior to the test trial with a novel object (Experiment 1c).
To obtain measures of object confusability, we used the semantic feature-based statistic data described previously (Gonnerman et al., 1997; Tyler et al., 2000; Tyler and Moss, 2001; McRae et al., 2005).
Because the within-block recency design does not allow for standard measures of object recognition to be analyzed (e.g., D2), an ANOVA examining the mean total exploration during the sample and choice phase was used to examine any subsidiary recognition measures (Albasser et al., 2011).
During 12-month testing of the AD group, significant improvement was observed compared to baseline values in episodic memory measures of object recall and in semantic memory, whereas no impairment was found in any cognitive performances evaluated, including cognitive speed in reaction time tasks.
Cohesion measures closeness of objects in a cluster and separation finds whether the clusters are well-separated or not [30, 31].
Overall, our scheme produces smoother displacement vector field with a more accurate measure of object motion in different SNR scenarios.
In contrast, face recognition behavior was not associated with any measure of object- or place-selective activation.
Indeed, among Syntax Knowers, our measure of object-based attention accounted for nearly 10% of the variance in participants' mean accuracy, even after controlling for mathematics education, mathematics anxiety, and overall task engagement.
We thus calculated, for each participant, a measure of object-based attention on Color Verification trials, by subtracting mean d' on between-term comparisons, from mean d' on within-term comparisons.
The ratio between the time spent exploring the novel object vs. total time spent exploring the objects [novel/(novel + familiar)] was taken as a measure of object memory.
