Recent theoretical work on perceptual uncertainty advocates the utility of modelling trial-by-trial updating across individuals in a Bayesian framework [ 53], which is argued to be of significant benefit in conceptualising the current findings from the signal detection task.
The results highlight the importance of modeling trial-by-trial RT in fMRI analyses and raise the possibility that RT variability may provide a powerful probe for investigating the previously elusive white matter BOLD signal.
To model trial-by-trial adaptation, I used a state-space approach [11], in which the initial direction of the left and the right hand (y) was expressed as a function of the force applied to the hand (a) and the internal state of the system (z), (4) [ y L y R ] n = [ D L 0 0 D R ] [ a L a R ] n − [ z L z R ] n, in which D L and D R relate to the stiffness of the left and right arm.
A successful model trialled by a Sydney school involves bringing in year 11 girls to talk to year 9 boys and giving them permission to ask questions about what girls like and want.
We constructed model trials by replacing the activity vectors with their corresponding model vectors (patterns).
Starting from this perspective, the aim of the present study was to illustrate an innovative model trialled by public and private sectors to promote an active and healthy lifestyle in childhood and adolescence overweight and obesity.
The functional significance of MPFC/ACC for fear recall is further substantiated by the fact that MPFC/ACC responses in the present study scaled with the magnitude of the CS+-evoked CR, as modeled using trial-by-trial SCRs as a parametric modulator of the neural CS+-evoked response.
When selection of trials was modeled by trial size and intensity of treatment, the most powerful test was the arcsine test.
When selection of trials was modeled by trial size and treatment effect magnitude, the power adjusted for type I error rate increased when the true average odds ratios moved away from 1.
Each effect was modeled on a trial-by-trial basis as a concatenation of square-wave functions.
Saccadic response speed (RS) was recorded in 15 subjects and used to estimate subject-specific parameters of a Bayesian learning scheme modeling the subjects' trial-by-trial updates of beliefs.
