Cited by 2Visual perception and processing mechanismsNeural dynamics and brain functionFace Recognition and Perception

Parallel processing in human visual cortex revealed through the influence of their neural responses on the visual evoked potential

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Marcar, V.L., Battegay, E., Schmidt, D., Cheetham, M.·2022·Vision Research

Abstract

The neural response in the human visual system is composed of magno-, parvo- and koniocellular input from the retina. Signal differences from functional imaging between health and individuals with a cognitive weakness are attributed to a dysfunction of a specific retinal input. Yet, anatomical interconnections within the human visual system obscure individual contribution to the neural response in V1. Deflections in the visual evoked potential (VEP) arise from an interaction between electric dipoles, their strength determined by the size of the neural population active during temporal - and spatial luminance contrast processing. To investigate interaction between these neural responses, we recorded the VEP over visual cortex of 14 healthy adults viewing four series of windmill patterns. Within a series, the relative area white in a pattern varied systematically. Between series, the number of sectors across which this area was distributed doubled. These patterns were viewed as pattern alternating and on-/off stimuli. P100/P1 amplitude increased linearly with the relative area white in the pattern, while N135/N1 and P240/P2 amplitude increased with the number of sectors of which the area white was distributed. The decreases P100 amplitude with increasing number of sectors is attributed to an interaction between electric dipoles located in granular and supragranular layers of V1. Differences between the VEP components obtained during a pattern reversing display and following pattern onset are accounted for by the transient and sustained nature of neural responses processing temporal - and spatial luminance contrast and ability of these responses to manifest in the VEP.

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Crossref · 10.1016/j.visres.2021.107994

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  • The brain relies mainly on deeper processing within the primary visual cortex to extract large-scale information from degraded visual signals.

    “This pattern suggests that the brain relies mainly on deeper processing within the primary visual cortex to extract large-scale information from degraded visual signals.[22]”

    From Brain Rewires to Stabilize Walking During Visual Impairment · cites this paper as [22]

    The Abstract and section 4.4 describe V1 responses to patterned stimuli and interactions between cortical layers. Neither addresses degraded visual signals or says the brain relies mainly on deeper V1 processing to extract large-scale information; searches for those concepts found no supporting passage in our copy. (LLM, conf=0.72)

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References 85 · Cited by 2

Authors
Marcar, V. L., Battegay, E., Schmidt, D., & Cheetham, M.
Affiliations
  • University Hospital Zurich (CH)
  • University of Basel (CH)
Corresponding author
Marcar, V.L.
Venue
Vision Research
Publisher
Elsevier BV
Published
2022-04
Volume
193
Pages
107994
ISSN
0042-6989 (ISSN-L)
OpenAlex
W4206065225
Cited by
2
References
85
Citations by year
2026: 1 · 2024: 1
FWCI
0.13
Type
journal article
Language
en
Open access
Locations
  • Vision Research (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-nd)
  • Zurich Open Repository and Archive (University of Zurich)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords
visual evoked potentials, primary visual cortex, parallel computing, electric dipole, P100
MeSH terms
Adult, Evoked Potentials, Visual, Eye Diseases, Humans, Photic Stimulation, Retina, Visual Cortex

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