scholarly journals Transparent-motion detection requires bimodal population activity

2010 ◽  
Vol 7 (9) ◽  
pp. 37-37
Author(s):  
J. A. Greenwood ◽  
M. Edwards
Keyword(s):  
Motion Detection ◽  
Population Activity ◽  
Transparent Motion

Population Activity in the Human Dorsal Pathway Predicts the Accuracy of Visual Motion Detection

2007 ◽  
Vol 98 (1) ◽  
pp. 345-359 ◽  
Author(s):  
Tobias H. Donner ◽  
Markus Siegel ◽  
Robert Oostenveld ◽  
Pascal Fries ◽  
Markus Bauer ◽  
...  
Keyword(s):  
Motion Detection ◽  
Visual Motion ◽  
Visual Pathway ◽  
Coherent Motion ◽  
Neural Population ◽  
False Alarms ◽  
Beta Band ◽  
Population Activity ◽  
Neural Population Activity ◽  
Visual Motion Detection

A person's ability to detect a weak visual target stimulus varies from one viewing to the next. We tested whether the trial-to-trial fluctuations of neural population activity in the human brain are related to the fluctuations of behavioral performance in a “yes–no” visual motion-detection task. We recorded neural population activity with whole head magnetoencephalography (MEG) while subjects searched for a weak coherent motion signal embedded in spatiotemporal noise. We found that, during motion viewing, MEG activity in the 12- to 24-Hz (“beta”) frequency range is higher, on average, before correct behavioral choices than before errors and that it predicts correct choices on a trial-by-trial basis. This performance-predictive activity is not evident in the prestimulus baseline and builds up slowly after stimulus onset. Source reconstruction revealed that the performance-predictive activity is expressed in the posterior parietal and dorsolateral prefrontal cortices and, less strongly, in the visual motion-sensitive area MT+. The 12- to 24-Hz activity in these key stages of the human dorsal visual pathway is correlated with behavioral choice in both target-present and target-absent conditions. Importantly, in the absence of the target, 12- to 24-Hz activity tends to be higher before “no” choices (“correct rejects”) than before “yes” choices (“false alarms”). It thus predicts the accuracy, and not the content, of subjects’ upcoming perceptual reports. We conclude that beta band activity in the human dorsal visual pathway indexes, and potentially controls, the efficiency of neural computations underlying simple perceptual decisions.

scholarly journals Global-motion detection with transparent-motion signals

1999 ◽  
Vol 39 (13) ◽  
pp. 2239-2249 ◽  
Author(s):  
Mark Edwards ◽  
Shin'ya Nishida
Keyword(s):  
Motion Detection ◽  
Global Motion ◽  
Transparent Motion

scholarly journals Pushing the limits of transparent-motion detection with binocular disparity

2006 ◽  
Vol 46 (16) ◽  
pp. 2615-2624 ◽  
Author(s):  
John A. Greenwood ◽  
Mark Edwards
Keyword(s):  
Motion Detection ◽  
Binocular Disparity ◽  
Transparent Motion

Nonlinearity of the population activity to transparent motion

2005 ◽  
Vol 18 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Osamu Watanabe ◽  
Masayuki Kikuchi
Keyword(s):  
Population Activity ◽  
Transparent Motion

Cooking Motion Detection by Using Kinect

2016 ◽  
Vol 136 (12) ◽  
pp. 1759-1760
Author(s):  
Masao Izumi ◽  
Kenji Hashimoto
Keyword(s):  
Motion Detection
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