In this context some authors have proposed the use of parametric and non-parametric flexible models.
Data were analysed to ensure appropriate use of parametric or non-parametric statistics.
Brain imaging number adaptation studies usually test for the parametric modulation of brain activity, evoked by the parametric manipulation of numerical distance/ratio between standard and deviant stimuli.
In this study we combined event-related fMRI with a parametric manipulation of the go nogo paradigm to examine the effect of preceding context on inhibitory processes.
The category structure and task design allowed parametric manipulation of number of target features while holding feature frequency and category membership constant.
In addition, the task allows the parametric manipulation of processing load by varying the number of objects to be tracked as well as the number of foil objects that need to be ignored.
To test these specific ideas, we modified an established paradigm, spontaneous location recognition (Ennaceur et al., 1997; Warburton et al., 2000), to allow parametric manipulation of the load on pattern separation.
Parametric manipulation of these parameters in the model may reveal how each parameter contributes to attentional amplification and suppression in the biased competition network, and to what extent these changes are rate or synchrony based.
To test these specific ideas, we modified an established paradigm, spontaneous location recognition (SLR) (Ennaceur et al., 1997; Warburton et al., 2000), to allow parametric manipulation of the load on pattern separation (Bekinschtein et al., 2013).
Another area in which the "answer" is produced as a result of a complex, multi-step process with a mix of parametric and nonparametric manipulations is in analyzing medical images, particularly those obtained via functional magnetic resonance imaging (fMRI) [19].
