Cortical representation of persistent visual stimuli

Gerber, Edden M.; Golan, Tal; Knight, Robert T.; Deouell, Leon Y.

doi:10.1016/j.neuroimage.2017.08.028

Cited by 27 publications

(46 citation statements)

References 55 publications

(64 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The combination of longer temporal windows and more adaptation may together cause responses in later areas to show less sensitivity (more tolerance) to changes in stimulus duration or timing, paralleling the greater tolerance for changes in stimulus size and position (Kay et al, 2013a). This pattern is also consistent with the observation that activity in early visual areas tends to stay elevated for longer durations while activity in category-selective ventral temporal areas tends to decline more rapidly following stimulus onset (Gerber et al, 2017).…”

Section: Normalizationsupporting

confidence: 73%

Unifying Temporal Phenomena in Human Visual Cortex

Zhou

Benson

Kay

et al. 2017

Preprint

View full text Add to dashboard Cite

Combining sensory inputs over time is fundamental to seeing. Due to temporal integration, we do not perceive the flicker in fluorescent lights nor the discrete sampling of movie frames; instead we see steady illumination and continuous motion. As a result of adaptation, elements of a scene that suddenly change in appearance are more salient than elements that do not. Here we investigated how the human nervous system combines visual information over time, measuring both functional MRI and intracortical EEG. We built predictive models using canonical neural computations, and account for temporal integration and adaptation. The models capture systematic differences in how information is combined in different visual areas, and generalize across instruments, subjects, and stimuli. AbstractThe visual system analyzes image properties across multiple spatial and temporal scales. Population receptive field ("pRF") models have successfully characterized spatial representations across the human visual pathways. Here, we studied temporal representations, measuring fMRI and electrocorticographic ("ECoG") responses in posterior, lateral, ventral, and dorsal visual areas to briefly viewed contrast patterns. We built a temporal pRF model employing linear summation and time-varying divisive normalization. Our model accurately predicts the fMRI amplitude and ECoG broadband timecourse, accounting for two phenomena -accumulation of stimulus information over time (summation), and response reduction with prolonged or repeated exposure (adaptation). We find systematic differences in these properties: summation periods are increasingly long and adaptation more pronounced in higher compared to earlier visual areas. We propose that several features of temporal responses -adaptation, summation, and the timescale of temporal dynamics -can be understood as resulting from a small number of canonical neuronal computations.

show abstract

Section: Normalizationsupporting

confidence: 73%

Unifying Temporal Phenomena in Human Visual Cortex

Zhou

Benson

Kay

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…showing the same insensitivity to saccades occurring during stimulus presentation (Gerber et al, 2017).…”

Section: Eye Movements Do Not Drive the Duration-tracking Baseline Shmentioning

confidence: 58%

“…The goal of experiment 1 was to identify low frequency baseline shift and high frequency duration-tracking visual activity based on EEG responses to visual stimuli of variable duration, using the same material used in the study of Gerber et al (2017) in which duration-tracking responses were recorded intracranially. The experiment consisted of 1300 trials, divided into 20 recording blocks of 2.5 minutes each.…”

Section: Methodsmentioning

confidence: 99%

“…This reduction of the space of visual experience to brieflypresented stimuli may stem from the notion, characteristic of electrical engineering, that the impulse response of a system (the response to a very short stimulus, avoiding overlap of responses) is a good way for characterizing it. In a previous study (Gerber et al, 2017), we employed visual stimuli of variable duration in an intracranial study in humans and found that ongoing activity associated with stimulus presence and persisting for the entire duration of stimulus presentation ("duration-tracking" responses) are found in the broadband highfrequency (>30Hz) signal across the visual cortex. This sustained response showed a posterior to anterior gradient: it was robust and reliable in the early visual cortex (EVC), whereas sustained activity in high-level visual areas was present on average but was weaker and much less reliable than in EVC on a single-trial level.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sustained High- and Low-Frequency Neural Responses to Visual Stimuli in Scalp EEG

Gerber

Deouell

2018

Preprint

Self Cite

View full text Add to dashboard Cite

What are the neurophysiological correlates of sustained visual processing in the scalp EEG signal? In a previous study using intracranial recordings in humans, we found that presentation of visual stimuli for prolonged durations (up to 1.5 seconds) was associated with two kinds of sustained neural activity patterns: a high-frequency broadband (>30 Hz) response that tracked the duration of the stimulus with high precision in early visual cortex (EVC), and with lesser temporal precision in downstream category-selective areas; and a sustained lowfrequency potential shift appearing in a small subset of EVC sites. Using a similar approach of presenting images for variable durations to identify sustained activity, we provide the first comprehensive characterization of the manifestation of sustained visual responses as recorded with EEG. In a series of four experiments, we found that both high-and lowfrequency sustained responses can be detected on the scalp. The high frequency activity could be detected with high signal to noise ratio only in a subset of individual subjects, in whom it was unequivocal and highly localized. The low frequency sustained response was sensitive to the size and position of the stimulus in the visual field. Both response types showed strong lateralization for stimuli on the left vs. right visual field, suggesting a retinotopic visual cortical source. However, different scalp topographies and different modulation by stimulus properties suggest that the two types of sustained responses are likely driven by distinct sources, and reflect different aspects of sustained processing in the visual cortex.

show abstract

“…The fact that house related performance was faster than that of faces, even at the fovea, may seem counterintuitive. However, in addition to house/place related processing relying on different cortical mechanisms and different computations than those of faces 25,26,59,60 , house/place related mechanisms also show a tendency for transient rather than sustained activity 59,61 . One study shows that house related areas as the house related ventral PPA and dorsal TOS areas also exhibit transient BOLD responses while the face related areas (ventral FFA and also OFA) show sustained BOLD activity and this is independent of the preferred or non-preferred category 59 .…”

Section: Discussionmentioning

confidence: 99%

Investigating face and house discrimination at foveal to parafoveal locations reveals category-specific characteristics

Kreichman

Bonneh

Gilaie-Dotan

2019

Preprint

View full text Add to dashboard Cite

Since perceptual and neural face sensitivity is associated with a foveal bias, and neural place sensitivity is associated with a peripheral bias (integration over space), we hypothesized that face perception ability will decline more with eccentricity than place perception ability. We also hypothesized that face perception ability may show an upper visual field (UVF) bias due to the proximity of face-related regions to UVF retinotopic representations, and a left visual field (LeVF) bias due to earlier reports suggesting right hemisphere dominance for faces. Participants performed fovea and parafoveal face discrimination tasks ( 4) while their eye movements were monitored. Additional within-category discrimination performance was measured for houses, inverted faces, shapes and low-level visual acuity. While, as expected, eccentricity-related accuracy reductions were evident for all categories, in contrast to our hypothesis, there was no significant difference between face and house-related accuracy. Furthermore, RTs for houses were significantly faster than for faces at all locations including the fovea. Significant LeVF bias was evident for upright and inverted faces, and face inversion effect was found at all parafoveal eccentricities. Our results suggest that low-level and possibly top-down factors, and not only the face-fovea place-peripheral associations found in high-level visual cortex, influence perceptual performance.Keyword: face, house, parafovea, face inversion effect, eccentricity, upper visual field, lower visual field, right visual field, left visual field

show abstract

Cortical representation of persistent visual stimuli

Cited by 27 publications

References 55 publications

Unifying Temporal Phenomena in Human Visual Cortex

Unifying Temporal Phenomena in Human Visual Cortex

Sustained High- and Low-Frequency Neural Responses to Visual Stimuli in Scalp EEG

Investigating face and house discrimination at foveal to parafoveal locations reveals category-specific characteristics

Contact Info

Product

Resources

About