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According to Bowers and colleagues' (1990) model, it is assumed that conscious object recognition is always preceded by a guiding stage that is, the stage of intuitive processing.
Studies specifically investigating the neural basis of intuitive processing using WGCT-like paradigms underline such an essential role of the OFC.
Such coarse and abstract representations may, in fact, be exactly those that create a feeling of coherence that cannot be further explained and, in this sense, may actually establish the basis of intuitive processing.
On the basis of the present data, we suggest that the OFC is a structure that cannot be ignored in research that focuses on a neural understanding of intuitive processing and, more specifically, that the proposed neural model may prove a useful starting point for future research in this field.
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If this is correct, time courses of activation in regions related to intuitive processing should be found to be very similar for stimuli for which an object name is given (subsequently referred to as explicitly coherent stimuli) and those for which the object cannot be named (subsequently referred to as implicitly coherent stimuli).
Until more research is available on the value of intuitive processes in such decision contexts, it is unclear to what extent a VCM that encourages intuitive processing of options would be effective to help people sort out what is most important to them.
This conceptualization fits in very well with Bowers et al.'s (1990) framework of intuition, and in the present study, we use it as a preliminary neural model for intuitive processing, as displayed in Fig. 1.
Different neural regions and networks have been suggested to be related to intuitive processing.
However, there is an increasing recognition of the role of affective or intuitive processing in how people think about risk [ 12, 18– 218.
First, the priority setting process involves many criteria and many interventions, and since intuitive processing of this complex data can lead to unjustified conclusions, quantitative rather than qualitative analyses seem apt.
Such intuitive processing of the data can be quick and effective, but it may also lead to the use of unjustified assumptions, causing incorrect ranking of options [ 42].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com