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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.

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.

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.

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.

Importantly, GEE models allow for trial-by-trial modeling of both time-varying parameters (e.g., changes in reward value of the hard-task for each trial) as well as fixed effects (e.g., scores on anhedonia measures).

Accordingly, we used the active inference model to predict trial-by-trial variations in neuronal responses.

We now discuss this issue in the manuscript and include an additional appendix detailing a model which includes trial-by-trial single cell coding properties resembling those described by Schmidt et al. while maintaining independence between cells (final paragraph of subsection headed "Single Cell Coding Model", in the Results section, and Appendix: A2).

The present work compares 8 different models for estimating trial-by-trial activation patterns for a range of rapid event-related designs varying by interstimulus interval and signal-to-noise ratio.

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