No attentional capture from invisible flicker

Alais, David; Locke, Shannon M.; Leung, Johahn; Burg, Erik Van der

doi:10.1038/srep29296

Cited by 11 publications

(16 citation statements)

References 30 publications

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“…The similarity between attractive serial dependence and repulsive adaptation effects in vision is suggested by the observations that both phenomena emerge not only across "primary" visual dimensions such as orientation He & MacLeod, 2001), numerosity (Fornaciai & Park, 2018b;Arrighi, Togoli, & Burr, 2014), position (Manassi et al, 2018;Whitaker, McGraw, & Levi, 1997), motion (Alais et al, 2017;Kohn & Movshon, 2003), or shape (Manassi Kristjánsson, & Whitney, 2019;Mattar, Olkkonen, Epstein, & Aguirre, 2018), but also across more complex features such as the summary statistics of a visual scene (Manassi, Liberman, Chaney, & Whitney, 2017;Corbett, Wurnitsch, Schwartz, & Whitney, 2012) and visual variance (Suárez-Pinilla et al, 2018;Maule & Franklin, 2020). Moreover, although adaptation and serial dependence may involve distinct physiological mechanisms, there is evidence that the same stimulus can induce either an attractive or a repulsive effect, depending on whether it was actively judged (Pascucci et al, 2019), or whether it was visible or suppressed by backward masking (Fornaciai & Park, 2019a;.…”

Section: Introductionmentioning

confidence: 95%

“…Specifically, it is an attractive bias in which the current stimulus appears mistakenly more similar to a previous one than it is in reality-much like an averaging of the features of successive stimuli. Serial dependence has been shown to be pervasive in vision, emerging in several visual domains spanning from relatively simple visual attributes such as orientation Fritsche, Mostert, & de Lange, 2017;Pascucci, Mancuso, Santandrea, Della Libera, Plomp, & Chelazzi" 2019), position (Manassi, Liberman, Kosovicheva, Zhang, & Whitney, 2018), numerosity (Corbett, Fischer, & Whitney, 2011;Fornaciai & Park, 2018a;Fornaciai & Park, 2018b) and motion (Alais, Leung, & Van der Burg, 2017) to more complex features such as face identity (Liberman, Fischer, & Whitney, 2014), attractiveness (Xia, Leib, & Whitney, 2016), and visual variance (Suárez-Pinilla, Seth, & Roseboom, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Serial dependence in time and numerosity perception is dimension-specific

et al. 2021

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The perception of a visual event (e.g., a flock of birds) at the present moment can be biased by a previous perceptual experience (e.g., the perception of an earlier flock). Serial dependence is a perceptual bias whereby a current stimulus appears more similar to a previous one than it actually is. Whereas serial dependence emerges within several visual stimulus dimensions, whether it could simultaneously operate across different dimensions of the same stimulus (e.g., the numerosity and the duration of a visual pattern) remains unclear.Here we address this question by assessing the presence of serial dependence across duration and numerosity, two stimulus dimensions that are often associated and can bias each other. Participants performed either a duration or a numerosity discrimination task, in which they compared a constant reference with a variable test stimulus, varying along the task-relevant dimension (either duration or numerosity). Serial dependence was induced by a task-irrelevant inducer, that is, a stimulus presented before the reference and always varying in both duration and numerosity. The results show systematic serial dependencies only within the task-relevant stimulus dimension, that is, stimulus numerosity affects numerosity perception only, and duration affects duration perception only. Additionally, at least in the numerosity condition, the task-irrelevant dimension of the inducer (duration) had an opposite, repulsive effect. These findings thus show that attractive serial dependence operates in a highly specific fashion and does not transfer across different stimulus dimensions. Instead, the repulsive influence, possibly reflecting perceptual adaptation, can transfer from one dimension to another.

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Serial dependence in time and numerosity perception is dimension-specific

et al. 2021

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“…secondary visual cortices). In agreement with these arguments, it has been repeatedly reported that invisible visual flickering is still able to activate V1 even without any perceptual effects (23), as revealed by in vivo electrophysiology in non-human primates (16) as well as behavioral evidence (24) and BOLD fMRI (25) in humans. High (30 Hz) frequency visual stimulation has been found to selectively suppress multi-unit activity (MUA) in cat V1 as compared to low frequency (4 Hz) visual stimulation (26).…”

Section: Introductionmentioning

confidence: 56%

“…secondary visual cortices). In agreement with 70 these arguments, it has been repeatedly reported that invisible visual flickering is still able to 71 activate V1 even without any perceptual effects (23), as revealed by in vivo electrophysiology in 72 non-human primates (16) as well as behavioral evidence (24) and BOLD fMRI (25) in humans.…”

Section: Introductionmentioning

confidence: 68%

Perception affects the brain’s metabolic response to sensory stimulation

DiNuzzo

Mangia

Moraschi

et al. 2021

Preprint

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Processing of incoming sensory stimulation triggers an increase of cerebral perfusion and blood oxygenation (neurovascular response) as well as an alteration of the metabolic neurochemical profile (neurometabolic response). Here we show that perceived and unperceived isoluminant chromatic flickering stimuli designed to have similar neurovascular responses as measured by blood oxygenation level dependent functional MRI (BOLD-fMRI) in primary visual cortex (V1) have markedly different neurometabolic responses as measured by functional MRS. In particular, a significant regional buildup of lactate, an index of aerobic glycolysis, and glutamate, an index of malate-aspartate shuttle, occurred in V1 only when the flickering is perceived, without any relation with behavioral or physiological variables. Wheras the BOLD-fMRI signal in V1, a proxy for input to V1, was insensitive to flickering perception by design, the BOLD-fMRI signal in secondary visual areas was larger during perceived than unperceived flickering indicating increased output from V1. These results indicate that the upregulation of energy metabolism induced by visual stimulation depends on the type of information processing taking place in V1, and that 1H-fMRS provides unique information about local input/output balance that is not measured by BOLD-fMRI.

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“…The stimulus was back-projected onto the screen using a DLP LED projector (PROPixx, VPixx Technologies Inc., Montreal, Canada). The PROPixx operated in a specialized high refresh rate video sequencer mode called QUAD4X developed by VPixx Technologies (Alais et al, 2016;Balsdon et al, 2018;DeSimone & Schneider, 2019;Schweitzer & Rolfs, 2019;Zhang et al, 2019;Zhigalov et al, 2019). In short, the computer's graphic card (Titan V, Nvidia, Santa Clara, CA) transmits a 1920 x 1080 pixels image at 120 FPS.…”

Section: Design and Apparatusmentioning

confidence: 99%

Limits of subjective and objective vection for ultra-high frame rate visual displays

Weech

Kenny

Calderon

et al. 2020

Preprint

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Large-field optic flow generates the illusory percept of self-motion, termed 'vection'. Smoother visual motion displays generate a more compelling subjective sense of vection and objective postural responses, as well as a greater sense of immersiveness for the user observing the visual display. Research suggests that the function linking frame rate and vection asymptotes at 60 frames per second (FPS), but previous studies have used only moderate frame rates that do not approach the limits of human perception. Here, we measure vection using subjective and objective (mean frequency and path length of postural centre-ofpressure (COP) excursions) responses following the presentation of high-contrast optic flow stimuli at slow and fast speeds and low and ultra-high frame rates. We achieve this using a novel rendering method implemented with a projector capable of sub-millisecond temporal resolution in order to simulate refresh rates ranging from very low (15 FPS) to ultra-high frame rates (480 FPS). The results suggest that subjective vection was experienced most strongly at 60 FPS. Below and above 60 FPS, subjective vection is generally weaker, shorter, and starts later, although this pattern varied slightly according to the speed of stimuli. For objective measures, while the frequency of postural sway was unaffected by frame rate, COP path length was greatest for 480 FPS stimuli. Together, our results support diminishing returns for vection above 60 FPS and provide insight into the use of high frame rate for enhancing the user experience in visual displays.

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No attentional capture from invisible flicker

Cited by 11 publications

References 30 publications

Serial dependence in time and numerosity perception is dimension-specific

Serial dependence in time and numerosity perception is dimension-specific

Perception affects the brain’s metabolic response to sensory stimulation

Limits of subjective and objective vection for ultra-high frame rate visual displays

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