Faculty Opinions recommendation of Common neural mechanisms for response selection and perceptual processing.

Author(s):  
Adele Diamond
2003 ◽  
Vol 15 (8) ◽  
pp. 1095-1110 ◽  
Author(s):  
Yuhong Jiang ◽  
Nancy Kanwisher

Behavioral evidence supports a dissociation between response selection (RS; stimulus-to-response [S—R] mapping) and perceptual discrimination (PD): The former may be subject to a central processing bottleneck, whereas the latter is not (Pashler, 1994). We previously (Jiang & Kanwisher, 2003) identified a set of frontal and parietal regions involved in RS as those that produce a stronger signal when subjects follow a difficult S—R mapping rule than an easy mapping rule. Here, we test whether any of these regions are selectively activated by RS and not perceptual processing, as predicted by the central bottleneck view. In Experiment 1, subjects indicated which of four parallel lines was unique in length; PD was indexed by a higher BOLD response when the discrimination was difficult versus easy. Stimuli and responses were closely matched across conditions. We found that all regions-of-interest (ROIs) engaged by RS were also engaged by perceptual processing, arguing against the existence of mechanisms exclusively involved in RS. In Experiments 2 and 3, we asked what processes might go on in these ROIs, such that they could be recruited by both RS and perceptual processing. Our data argue against an account of this common activation in terms of spatial processing or general task difficulty. Thus, PD may recruit the same central processes that are engaged by RS.


1999 ◽  
Vol 22 (6) ◽  
pp. 956-957
Author(s):  
Glyn W. Humphreys ◽  
M. Jane Riddoch

We discuss the difficulty of measuring the perceptual experience of colour, supporting Palmer's assertion that neuropsychological disorders of colour processing can be informative in this respect. We point out that some disorders seem to affect the perceptual experience of colour over and above the perceptual processing of colour, providing direct insights into the neural mechanisms supporting perceptual experience.


NeuroImage ◽  
2007 ◽  
Vol 34 (1) ◽  
pp. 446-454 ◽  
Author(s):  
Robert Hester ◽  
Mark D'Esposito ◽  
Michael W. Cole ◽  
Hugh Garavan

2021 ◽  
Author(s):  
Arni Kristjansson

Attentional priming involves speeded selection of task-relevant visual search items when search stimuli remain constant from one search to the next. There is a tendency in the literature to interpret diverse priming effects as reflecting activity modulations of the same mechanisms. Priming effects in various different paradigms (from lower-level to higher-level features) have been used interchangeably to study the nature of priming, even when tasks differ vastly in difficulty and neural mechanisms involved. Another view is that priming is a characteristic of all perceptual mechanisms, that operate at different processing levels. Here, this issue was addressed by contrasting time courses and relative sizes of priming effects for repetition of a lower-level and higher-level feature (color vs. facial expression). Attentional priming was tested in two odd-one-out search tasks, one involving discrimination, the other present/absent judgment. Firstly, the sizes of the normalized priming effects were very different for color and expression and secondly, color priming effects lasted for much longer than expression priming, as measured with memory kernel analyses, suggesting that the mechanics behind the effects differ. These two forms of priming should therefore only be compared with great caution. Generally, the results suggest that priming occurs at many levels of processing and can take many forms. This view is highly consistent with research on the neural mechanisms of priming. Priming of attention shifts should be thought of as a general principle of perceptual processing.


2013 ◽  
Vol 25 (6) ◽  
pp. 843-851 ◽  
Author(s):  
Tsung-Ren Huang ◽  
Thomas E. Hazy ◽  
Seth A. Herd ◽  
Randall C. O'Reilly

We can learn from the wisdom of others to maximize success. However, it is unclear how humans take advice to flexibly adapt behavior. On the basis of data from neuroanatomy, neurophysiology, and neuroimaging, a biologically plausible model is developed to illustrate the neural mechanisms of learning from instructions. The model consists of two complementary learning pathways. The slow-learning parietal pathway carries out simple or habitual stimulus–response (S-R) mappings, whereas the fast-learning hippocampal pathway implements novel S-R rules. Specifically, the hippocampus can rapidly encode arbitrary S-R associations, and stimulus-cued responses are later recalled into the basal ganglia-gated pFC to bias response selection in the premotor and motor cortices. The interactions between the two model learning pathways explain how instructions can override habits and how automaticity can be achieved through motor consolidation.


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