Cited by 128Visual perception and processing mechanismsNeuroscience and Neuropharmacology ResearchFace Recognition and Perception

Capabilities of monkey cortical cells in spatial-resolution tasks

Parker, Andrew, Hawken, Mike·1985·Journal of the Optical Society of America A

Abstract

The performance of individual neurons in monkey striate cortex has been examined in three spatial-resolution tasks by making microelectrode recordings from single cells in anaesthetized, paralyzed animals. The statistical reliability of responses from cells was used to estimate threshold levels of performance. For each task (resolution acuity for high-contrast gratings, discrimination of gratings varying in spatial frequency, and localization ability, i.e., discrimination of spatial phase), performance approaching psychophysical thresholds was obtained from single cortical cells. The receptive-field organization underlying localization performance was examined in detail by the use of a linear model that relates localization ability to the sensitivity of the receptive field to luminance contrast. Calculations from this model agree well with direct measurements of localization performance and are comparable with psychophysical measurements of hyperacuity. Though it has been suggested that cells with nonoriented receptive fields in cortical layer IVc beta may be responsible for recovering fine-grain spatial information, our calculations indicate that these cells are poorer at localization than many other cells in the cortex.

Integrity signals

Registry

Crossref · 10.1364/josaa.2.001101

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several studies have found good agreement between population-level responses of gain-modulated neurons and psychophysical performance in visual contrast discrimination in humans and non-human primates.

    “Indeed, several studies have found good agreement between the population-level responses of gain-modulated neurons (such as the population-average contrast response function) and psychophysical performance (for example, in visual contrast discrimination) in humans and non-human primates12,20–24.”

    From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [23]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Parker, A., & Hawken, M.
Affiliations
University of Oxford (GB)
Venue
Journal of the Optical Society of America A
Published
1985-07-01
Volume
2
Issue
7
Pages
1101
ISSN
  • 1084-7529 (ISSN-L)
  • 1520-8532
OpenAlex
W2036183488
Cited by
128
References
45
Citations by year
2026: 1 · 2021: 1 · 2020: 4 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 6 · 2014: 4 · 2013: 2
FWCI
1.68
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the Optical Society of America A (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords
primary visual cortex, single neuron responses, spatial resolution, spatial localization, spatial frequency discrimination, receptive fields, hyperacuity, psychophysical thresholds, luminance contrast sensitivity, visual acuity
MeSH terms
Animals, Haplorhini, Discrimination, Psychological, Macaca fascicularis, Models, Biological, Neurons, Photic Stimulation, Psychophysiology, Space Perception, Vision, Ocular, Visual Acuity, Visual Cortex

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review