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We find before we Look: Neural signatures of target detection preceding saccades during visual search
Author(s) -
An Luo,
Lucas C. Parra,
Peter Šajda
Publication year - 2010
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/9.8.1207
Subject(s) - saccade , saccadic masking , eye movement , artificial intelligence , psychology , resampling , computer science , electroencephalography , visual search , computer vision , pattern recognition (psychology) , neuroscience
We investigated neural correlates of target detection in the electroencephalogram (EEG) during a free viewing search task and analyzed signals locked to saccadic events. We adopted stimuli similar to ones we used previously to study target detection in serial presentations of briefly flashed images. Subjects performed the search task for multiple random scenes while we simultaneously recorded 64 channels of EEG and tracked subjects’ eye position. For each subject we identified target saccades (TS) and distractor saccades (DS). For TS we used saccades which were aimed directly to the target and were followed by a correct behavioral response (button press); for DS, we used saccades in correctly responded trials having no target (these were 28% of the trials). We sampled the sets of TS and DS saccades such that they were equalized/matched for saccade direction and duration, ensuring that no information in the saccade properties themselves was discriminating for their type. We aligned EEG to the saccade onset and used logistic regression (LR), in the space of the 64 electrodes, to identify activity discriminating a TS from a DS on a single-trial basis. Specifically, LR was applied to the signals from 50ms time windows preceding and following saccade onset for varying latencies. We found that there is significant discriminating activity in the EEG both before and after the saccade—average discriminability across 7 subjects was AUC=0.64, 80 ms before the saccade, and AUC=0.68, 60 ms after the saccade (p<0.01 established using bootstrap resampling). Between these time periods we saw substantial reduction in discriminating activity (mean AUC=0.59). We conclude that we can identify neural signatures of detection both before and after the saccade, indicating that subjects anticipate the target before the last saccade which serves to foveate and confirm it target identity.

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