AbstractWe have examined the role of the superior colliculus (SC) in choosing targets for pursuit and saccades by comparing neuronal activity at sites representing the possible choices. After recording during a two-alternative forced-choice paradigm, we measured the difference in activity of the populations representing the two choices by computing receiver operating characteristic (ROC) curves on a millisecond timescale. A signal indicating the correct choice emerged from noise over time, forming a tradeoff between speed and accuracy. The observed performance corresponded to particular points along the predicted speed-accuracy curves—pursuit emphasizing speed and saccades emphasizing accuracy. These results show that activity from the same...
<div><p>A major challenge in computational neurobiology is to understand how populations of noisy, b...
activity related to concurrent processing of saccade goals in a visual search task. J Neurophysiol 8...
A major challenge in computational neurobiology is to understand how populations of noisy, broadly-t...
This dissertation is organized into a single chapter describing work that has contributed to our und...
AbstractThe superior colliculus (SC) is well known for its role in the motor control of saccades. Re...
Accurate action requires selectively processing only the sensory signals that are relevant to that a...
International audienceBalancing the speed-accuracy tradeoff (SAT) is necessary for successful behavi...
The goal of this project was to measure how neurons in the superior colliculus (SC) change their act...
Oculomotor tracking of moving objects is an important component of visually based cognition and plan...
International audienceFollowing the suggestion that a command encoding current target location feeds...
cade-related activity in the primate superior colliculus on visual target presence. J Neurophysiol 8...
Performance in a behavioural task can be influenced by both bottom-up and top-down processes such as...
Successful task switching requires a network of brain areas to select, maintain, implement, and exec...
The mechanisms that underlie the integration of visual and goal-related signals for the production o...
Distinct networks in the forebrain and the midbrain coordinate to control spatial attention. The cri...
<div><p>A major challenge in computational neurobiology is to understand how populations of noisy, b...
activity related to concurrent processing of saccade goals in a visual search task. J Neurophysiol 8...
A major challenge in computational neurobiology is to understand how populations of noisy, broadly-t...
This dissertation is organized into a single chapter describing work that has contributed to our und...
AbstractThe superior colliculus (SC) is well known for its role in the motor control of saccades. Re...
Accurate action requires selectively processing only the sensory signals that are relevant to that a...
International audienceBalancing the speed-accuracy tradeoff (SAT) is necessary for successful behavi...
The goal of this project was to measure how neurons in the superior colliculus (SC) change their act...
Oculomotor tracking of moving objects is an important component of visually based cognition and plan...
International audienceFollowing the suggestion that a command encoding current target location feeds...
cade-related activity in the primate superior colliculus on visual target presence. J Neurophysiol 8...
Performance in a behavioural task can be influenced by both bottom-up and top-down processes such as...
Successful task switching requires a network of brain areas to select, maintain, implement, and exec...
The mechanisms that underlie the integration of visual and goal-related signals for the production o...
Distinct networks in the forebrain and the midbrain coordinate to control spatial attention. The cri...
<div><p>A major challenge in computational neurobiology is to understand how populations of noisy, b...
activity related to concurrent processing of saccade goals in a visual search task. J Neurophysiol 8...
A major challenge in computational neurobiology is to understand how populations of noisy, broadly-t...