Multiple modal assurance criteria (MAC) values and coordinate modal assurance criteria (COMAC) values were also effective features that were sensitive to damage scenarios examined herein if sufficient modes were considered.
Several compatibilists have suggested that freely willed actions issue from volitional features of agency that are sensitive to an appropriate range of reasons (e.g., Dennett, 1984a; Fingarette, 1972; Gert and Duggan, 1979; Glover, 1970; MacIntyre, 1957; Neely, 1974; and Nozick, 1981).
This is comparable to the human visual system, which also makes use of feature detectors – for example, V1 contains neurons that are sensitive to features such as orientation, direction and spatial and temporal frequency, and V4 neurons are sensitive to geometric shapes [67].
For example, attention to selective features of a stimulus (for example, its motion or colour) generate activations in cortical regions that are sensitive to those features and top-down attentional mechanisms have been found to affect the sensitivity, tuning and baseline activity of neurons as early as the LGN and V1.
This results in the development of anhedonic features (e.g. reduced sucrose intake) that are sensitive to chronic, but not acute administration of antidepressants, and thus more closely resembles the chronic, multidimensional nature of clinical MDD [ 13, 14].
Compared with eBay, the company says it exerts a far greater measure of control over its marketplace, calling certain vendors "featured sellers" and vetting others in product categories that are sensitive to fraud.
It should be noted however that research with hemodynamic imaging data also supports area-specific modulation of the response in cortical regions that are sensitive to a particular feature such as color or motion [40].
The experimental design enabled us to investigate whether selectively attending to FM and spatial motion enhanced activity in those auditory cortical areas that were sensitive to the two features.
This type of failure is common for example-based regression approaches [11], and hence, it is necessary to extract more effective features that are less sensitive to such appearance variance to reduce the effect of this problem.
The zoom mechanism could not only enlarge and shrink obtained feature maps successively to extract features that are more sensitive to the results, but also implement the nonlinear mapping in a more effective way than other methods.
