Visually Guided, Aimed Movements Are Unaffected by Stimulus- Response Uncertainty

2004 ◽  
Author(s):  
Shane A. Belovsky ◽  
Charles E. Wright ◽  
Valerie F. Marino ◽  
Charles Chubb

2007 ◽  
Vol 179 (3) ◽  
pp. 475-496 ◽  
Author(s):  
Charles E. Wright ◽  
Valerie F. Marino ◽  
Shane A. Belovsky ◽  
Charles Chubb


1973 ◽  
Vol 37 (3) ◽  
pp. 835-839 ◽  
Author(s):  
Herbert Moskowitz ◽  
Marcelline Burns

Response latencies in naming visually displayed numbers were measured for 20 Ss under control and alcohol treatments. The size of the stimulus pool was varied by sets of trials to produce stimulus-response uncertainty in the range 0 to 5 bits. Response latencies were a function of the amount of uncertainty, but alcohol impairment was not.



2004 ◽  
Vol 19 (1) ◽  
pp. 100-102 ◽  
Author(s):  
Marian Berryhill ◽  
Kestutis Kveraga ◽  
Leanne Boucher ◽  
Howard C. Hughes


2019 ◽  
Author(s):  
Aline Bompas ◽  
Anne Eileen Campbell ◽  
Petroc Sumner

AbstractCountermanding behavior has long been seen as a cornerstone of executive control – the human ability to selectively inhibit undesirable responses and change plans. In recent years, however, scattered evidence has emerged that stopping behavior is entangled with simpler automatic stimulus-response mechanisms. Here we give flesh to this idea by merging the latest conceptualization of saccadic countermanding with a versatile neural network model of visuo-oculomotor behavior that integrates bottom-up and top-down drives. This model accounts for all fundamental qualitative and quantitative features of saccadic countermanding, including neuronal activity. Importantly, it does so by using the same architecture and parameters as basic visually guided behavior and automatic stimulus-driven interference. Using simulations and new data, we compare the temporal dynamics of saccade countermanding with that of saccadic inhibition (SI), a hallmark effect thought to reflect automatic competition within saccade planning areas. We demonstrate how SI accounts for a large proportion of the saccade countermanding process when using visual signals. We conclude that top-down inhibition acts later, piggy-backing on the quicker automatic inhibition. This conceptualization fully accounts for the known effects of signal features and response modalities traditionally used across the countermanding literature. Moreover, it casts different light on the concept of top-down inhibition, its timing and neural underpinning, as well as the interpretation of stop-signal reaction time, the main behavioral measure in the countermanding literature.



2010 ◽  
Vol 2 (7) ◽  
pp. 179-179
Author(s):  
M. E. Berryhill ◽  
L. Boucher ◽  
K. Kveraga ◽  
H. C. Hughes


2005 ◽  
Vol 100 (1) ◽  
pp. 267-274 ◽  
Author(s):  
Marian Berryhill ◽  
Kestutis Kveraga ◽  
Howard C. Hughes

Reaction times generally follow the predictions of Hick's law as stimulus-response uncertainty increases, although notable exceptions include the oculomotor system. Saccadic and smooth pursuit eye movement reaction times are independent of stimulus-response uncertainty. Previous research showed that joystick pointing to targets, a motor analog of saccadic eye movements, is only modestly affected by increased stimulus-response uncertainty; however, a no-uncertainty condition (simple reaction time to 1 possible target) was not included. Here, we re-evaluate manual joystick pointing including a no-uncertainty condition. Analysis indicated simple joystick pointing reaction times were significantly faster than choice reaction times. Choice reaction times (2, 4, or 8 possible target locations) only slightly increased as the number of possible targets increased. These data suggest that, as with joystick tracking (a motor analog of smooth pursuit eye movements), joystick pointing is more closely approximated by a simple/choice step function than the log function predicted by Hick's law.



2005 ◽  
Vol 162 (3) ◽  
pp. 401-405 ◽  
Author(s):  
Kestutis Kveraga ◽  
Howard C. Hughes


1967 ◽  
Vol 2 (11) ◽  
pp. 511-515 ◽  
Author(s):  
Richard A. Kulp ◽  
Earl A. Alluisi


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