There are twelve boxplots corresponding to six channel data with two different types of tasks, indicated with two different letters M and C after the channel label.
The high classification accuracy and low standard deviation obtained from various combination of tasks indicate high within class compactness and between class separability of the proposed feature extraction scheme.
There were no significant associations between optimism and subjective ratings of tasks, indicating that optimists did not appraise or engage in the tasks differently from their counterparts.
The demonstration of the methodology in a complex design task indicates the feasibility of the approach.
The experimental results of reaching task indicate that the number of channels and type of feedback is an important factor on the level of embodiment that a supernumerary limb device can achieve in a set amount of time.
In contrast, this treatment had no effect on the d-SLR version of the task, indicating that BDNF was necessary for successful encoding, consolidation, or both only when the encoded spatial representations were similar, but not when they were different.
Mice on the radiolarian maze learned both working and reference memory versions of the task, indicating that the animals could learn and remember, both within trials and across days, spatial locations distributed within 3D space.
Collectively, data of the Stroop task indicate that the control of attention via executive mechanisms is less sensitive to insulin-induced hypoglycemia than pre-attentive automated stimulus processing (reading, naming).
These differences exist despite the fact that the stimuli for SD and SF were the same and that both RTs, each of which was significantly longer than that of the PD task, indicated similar difficulty levels [SF, 1597±332 ms; SD, 1768±367 ms; PD, 771±197 ms].
