scholarly journals The role of response selection and input monitoring in solving simple arithmetical products

2005 ◽  
Vol 33 (8) ◽  
pp. 1472-1483 ◽  
Author(s):  
Maud Deschuyteneer ◽  
André Vandierendonck
Keyword(s):  
Response Selection ◽  
Input Monitoring

Beyond response output: More logical than we think

2009 ◽  
Vol 32 (1) ◽  
pp. 87-88 ◽  
Author(s):  
Wim De Neys
Keyword(s):  
Bayesian Model ◽  
Response Selection ◽  
Data Fitting ◽  
Output Data ◽  
The Core ◽  
Response Output ◽  
Exclusive Focus ◽  
Better Than

AbstractOaksford & Chater (O&C) rely on a data fitting approach to show that a Bayesian model captures the core reasoning data better than its logicist rivals. The problem is that O&C's modeling has focused exclusively on response output data. I argue that this exclusive focus is biasing their conclusions. Recent studies that focused on the processes that resulted in the response selection are more positive for the role of logic.

scholarly journals Picture Novelty Influences Response Selection and Inhibition: The Role of the In-Group Bias and Task-Difficulty

PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0165470 ◽  
Author(s):  
Artyom Zinchenko ◽  
Waich Mahmud ◽  
Musrura Mefta Alam ◽  
Nadia Kabir ◽  
Md. Mamun Al-Amin
Keyword(s):  
Task Difficulty ◽  
Response Selection ◽  
And Task

From beliefs to behavior: the mediating role of hostile response selection in predicting aggression

2005 ◽  
Vol 31 (5) ◽  
pp. 453-472 ◽  
Author(s):  
Amy D. Bellmore ◽  
Melissa R. Witkow ◽  
Sandra Graham ◽  
Jaana Juvonen
Keyword(s):  
Response Selection ◽  
Mediating Role

The role of effect grouping in free-choice response selection

2014 ◽  
Vol 150 ◽  
pp. 49-54 ◽  
Author(s):  
Markus Janczyk ◽  
Wilfried Kunde
Keyword(s):  
Free Choice ◽  
Response Selection ◽  
Choice Response

scholarly journals Role of human premotor dorsal region in learning a conditional visuomotor task

2017 ◽  
Vol 117 (1) ◽  
pp. 445-456 ◽  
Author(s):  
Pranav J. Parikh ◽  
Marco Santello
Keyword(s):  
Motor Response ◽  
Response Selection ◽  
Center Of Mass ◽  
Selection Response ◽  
Response Monitoring ◽  
Dorsal Region ◽  
Visuomotor Task ◽  
Conditional Learning ◽  
Stimulus Identification

Conditional learning is an important component of our everyday activities (e.g., handling a phone or sorting work files) and requires identification of the arbitrary stimulus, accurate selection of the motor response, monitoring of the response, and storing in memory of the stimulus-response association for future recall. Learning this type of conditional visuomotor task appears to engage the premotor dorsal region (PMd). However, the extent to which PMd might be involved in specific or all processes of conditional learning is not well understood. Using transcranial magnetic stimulation (TMS), we demonstrate the role of human PMd in specific stages of learning of a novel conditional visuomotor task that required subjects to identify object center of mass using a color cue and to apply appropriate torque on the object at lift onset to minimize tilt. TMS over PMd, but not vertex, increased error in torque exerted on the object during the learning trials. Analyses of digit position and forces further revealed that the slowing in conditional visuomotor learning resulted from impaired monitoring of the object orientation during lift, rather than stimulus identification, thus compromising the ability to accurately reduce performance error across trials. Importantly, TMS over PMd did not alter production of torque based on the recall of learned color-torque associations. We conclude that the role of PMd for conditional learning is highly sensitive to the stage of learning visuomotor associations. NEW & NOTEWORTHY Conditional learning involves stimulus identification, motor response selection, response monitoring, memory encoding, and recall of the learned association. Premotor dorsal (PMd) has been implicated for conditional learning. However, the extent to which PMd might be involved in specific or all stages of conditional learning is not well understood. The novel finding of our study is that PMd appears to be involved with monitoring motor responses, a sensorimotor integration stage essential for conditional learning.

Selective Stopping in Task Switching

2006 ◽  
Vol 53 (1) ◽  
pp. 48-57 ◽  
Author(s):  
Frederick Verbruggen ◽  
Baptist Liefooghe ◽  
André Vandierendonck
Keyword(s):  
Task Switching ◽  
Switch Cost ◽  
Direct Evidence ◽  
Response Selection ◽  
Response Execution ◽  
Distinct Role

Recently, several studies stressed the role of response selection in cued task switching. The present study tried to investigate directly the hypothesis that no switch cost can be found when there was no response selection. In two experiments, we combined a cued task switching paradigm with the selective stopping paradigm. Results of the experiments demonstrated that a switch cost was found when participants selected a response, even without response execution. Alternatively, when the response was inhibited without the need of response selection, no switch cost was found. These results provide direct evidence for the distinct role of response selection in cued task switching and suggest that response execution is not a necessary factor to obtain a switch cost.

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