scholarly journals Electrophysiological evidence for different qualities of change detection and change blindness

2010 ◽  
Vol 7 (9) ◽  
pp. 648-648
Author(s):  
N. A. Busch ◽  
I. Fruend ◽  
C. S. Herrmann
Keyword(s):  
Change Detection ◽  
Change Blindness ◽  
Electrophysiological Evidence

scholarly journals Implicit Detection Observation in Different Features, Exposure Duration, and Delay During Change Blindness

2021 ◽  
Vol 11 ◽  
Author(s):  
Wang Xiang
Keyword(s):  
Change Detection ◽  
Exposure Duration ◽  
Change Blindness ◽  
Reaction Times ◽  
Set Size ◽  
The Difference ◽  
Detection Effect

To investigate whether implicit detection occurs uniformly during change blindness with single or combination feature stimuli, and whether implicit detection is affected by exposure duration and delay, two one-shot change detection experiments are designed. The implicit detection effect is measured by comparing the reaction times (RTs) of baseline trials, in which stimulus exhibits no change and participants report “same,” and change blindness trials, in which the stimulus exhibits a change but participants report “same.” If the RTs of blindness trials are longer than those of baseline trials, implicit detection has occurred. The strength of the implicit detection effect was measured by the difference in RTs between the baseline and change blindness trials, where the larger the difference, the stronger the implicit detection effect. In both Experiments 1 and 2, the results showed that the RTs of change blindness trials were significantly longer than those of baseline trials. Whether under set size 4, 6, or 8, the RTs of the change blindness trials were significantly longer than those in the baseline trials. In Experiment 1, the difference between the baseline trials’ RTs and change blindness trials’ RTs of the single features was significantly larger than that of the combination features. However, in Experiment 2, the difference between the baseline trials’ RTs and the change blindness trials’ RTs of single features was significantly smaller than that of the combination features. In Experiment 1a, when the exposure duration was shorter, the difference between the baseline and change blindness trials’ RTs was smaller. In Experiment 2, when the delay was longer, the difference between the two trials’ RTs was larger. These results suggest that regardless of whether the change occurs in a single or a combination of features and whether there is a long exposure duration or delay, implicit detection occurs uniformly during the change blindness period. Moreover, longer exposure durations and delays strengthen the implicit detection effect. Set sizes had no significant impact on implicit detection.

scholarly journals A Single-Neuron Correlate of Change Detection and Change Blindness in the Human Medial Temporal Lobe

2006 ◽  
Vol 16 (20) ◽  
pp. 2066-2072 ◽  
Author(s):  
Leila Reddy ◽  
Rodrigo Quian Quiroga ◽  
Patrick Wilken ◽  
Christof Koch ◽  
Itzhak Fried
Keyword(s):  
Change Detection ◽  
Temporal Lobe ◽  
Medial Temporal Lobe ◽  
Single Neuron ◽  
Change Blindness

Implicit Beliefs About Change Detection and Change Blindness

2000 ◽  
Author(s):  
Brian J. Scholl ◽  
Daniel J. Simons ◽  
Daniel T. Levin
Keyword(s):  
Change Detection ◽  
Change Blindness ◽  
Implicit Beliefs

scholarly journals Neurally-constrained modeling of human gaze strategies in a change blindness task

2021 ◽  
Vol 17 (8) ◽  
pp. e1009322
Author(s):  
Akshay Jagatap ◽  
Simran Purokayastha ◽  
Hritik Jain ◽  
Devarajan Sridharan
Keyword(s):  
Change Detection ◽  
Mechanistic Model ◽  
Change Blindness ◽  
Success Rates ◽  
Posterior Odds ◽  
Gaze Patterns ◽  
Ratio Rule ◽  
Scan Paths ◽  
Sequential Probability ◽  
Strategies For Change

Despite possessing the capacity for selective attention, we often fail to notice the obvious. We investigated participants’ (n = 39) failures to detect salient changes in a change blindness experiment. Surprisingly, change detection success varied by over two-fold across participants. These variations could not be readily explained by differences in scan paths or fixated visual features. Yet, two simple gaze metrics–mean duration of fixations and the variance of saccade amplitudes–systematically predicted change detection success. We explored the mechanistic underpinnings of these results with a neurally-constrained model based on the Bayesian framework of sequential probability ratio testing, with a posterior odds-ratio rule for shifting gaze. The model’s gaze strategies and success rates closely mimicked human data. Moreover, the model outperformed a state-of-the-art deep neural network (DeepGaze II) with predicting human gaze patterns in this change blindness task. Our mechanistic model reveals putative rational observer search strategies for change detection during change blindness, with critical real-world implications.

Attentional Enhancement Opposite a Peripheral Flash Revealed Using Change Blindness

2003 ◽  
Vol 14 (2) ◽  
pp. 91-99 ◽  
Author(s):  
P.U. Tse ◽  
D.L. Sheinberg ◽  
N.K. Logothetis
Keyword(s):  
Change Detection ◽  
Spatial Attention ◽  
Hot Spot ◽  
Change Blindness ◽  
Visual Fixation ◽  
Visual Area ◽  
New Method ◽  
Full Field ◽  
Task Irrelevant

We describe a new method for mapping spatial attention that reveals a pooling of attention in the hemifield opposite a peripheral flash. Our method exploits the fact that a brief full-field blank can interfere with the detection of changes in a scene that occur during the blank. Attending to the location of a change, however, can overcome this change blindness, so that changes are detected. The likelihood of detecting a new element in a scene therefore provides a measure of the occurrence of attention at that element's location. Using this measure, we mapped how attention changes in response to a task-irrelevant peripheral cue. Under conditions of visual fixation, change detection was above chance across the entire visual area tested. In addition, a “hot spot” of attention (corresponding to near-perfect change detection) elongated along the cue-fixation axis, such that performance improved not only at the cued location but also in the opposite hemifield.

Time Course of Brain Activity during Change Blindness and Change Awareness: Performance is Predicted by Neural Events before Change Onset

2006 ◽  
Vol 18 (12) ◽  
pp. 2108-2129 ◽  
Author(s):  
Gilles Pourtois ◽  
Michael De Pretto ◽  
Claude-Alain Hauert ◽  
Patrik Vuilleumier
Keyword(s):  
Change Detection ◽  
Neural Activity ◽  
Time Course ◽  
Brain Activity ◽  
Change Blindness ◽  
Event Related Potentials ◽  
Distinct Pattern ◽  
Event Related Potential ◽  
Related Potentials ◽  
Visual Changes

People often remain “blind” to visual changes occurring during a brief interruption of the display. The processing stages responsible for such failure remain unresolved. We used event-related potentials to determine the time course of brain activity during conscious change detection versus change blindness. Participants saw two successive visual displays, each with two faces, and reported whether one of the faces changed between the first and second displays. Relative to blindness, change detection was associated with a distinct pattern of neural activity at several successive processing stages, including an enhanced occipital P1 response and a sustained frontal activity (CNV-like potential) after the first display, before the change itself. The amplitude of the N170 and P3 responses after the second visual display were also modulated by awareness of the face change. Furthermore, a unique topography of event-related potential activity was observed during correct change and correct no-change reports, but not during blindness, with a recurrent time course in the stimulus sequence and simultaneous sources in the parietal and temporo-occipital cortex. These results indicate that awareness of visual changes may depend on the attentional state subserved by coordinated neural activity in a distributed network, before the onset of the change itself.

scholarly journals Oscillatory Brain Activity in the Time Frequency Domain Associated to Change Blindness and Change Detection Awareness

2012 ◽  
Vol 24 (2) ◽  
pp. 337-350 ◽  
Author(s):  
Álvaro Darriba ◽  
Paula Pazo-Álvarez ◽  
Almudena Capilla ◽  
Elena Amenedo
Keyword(s):  
Change Detection ◽  
Frequency Analysis ◽  
Brain Activity ◽  
Change Blindness ◽  
Alpha Power ◽  
Beta Band ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Theta Power ◽  
Oscillatory Brain Activity

Despite the importance of change detection (CD) for visual perception and for performance in our environment, observers often miss changes that should be easily noticed. In the present study, we employed time–frequency analysis to investigate the neural activity associated with CD and change blindness (CB). Observers were presented with two successive visual displays and had to look for a change in orientation in any one of four sinusoid gratings between both displays. Theta power increased widely over the scalp after the second display when a change was consciously detected. Relative to no-change and CD, CB was associated with a pronounced theta power enhancement at parietal-occipital and occipital sites and broadly distributed alpha power suppression during the processing of the prechange display. Finally, power suppressions in the beta band following the second display show that, even when a change is not consciously detected, it might be represented to a certain degree. These results show the potential of time–frequency analysis to deepen our knowledge of the temporal curse of the neural events underlying CD. The results further reveal that the process resulting in CB begins even before the occurrence of the change itself.

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