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Journal ArticleDOI

Length summation in simple cells of cat striate cortex.

Robert A. Schumer, +1 more
- 01 Jan 1984 - 
- Vol. 24, Iss: 6, pp 565-571
TLDR
Experiments in which length and contrast were systematically varied support the summation model, and extend the notion of linear spatial summation to the length axis in simple cells.
About
This article is published in Vision Research.The article was published on 1984-01-01. It has received 45 citations till now. The article focuses on the topics: Receptive field & Summation.

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Citations
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Journal ArticleDOI

The two-dimensional spatial structure of simple receptive fields in cat striate cortex

TL;DR: A reverse correlation method is developed that allows quantitative determination of visual receptive-field structure in two spatial dimensions and it is demonstrated that thereverse correlation method yields results with several desirable properties, including convergence and reproducibility independent of modest changes in stimulus parameters.
Journal ArticleDOI

Do we know what the early visual system does

TL;DR: Research is progressing with the goals of defining a single “standard model” for each stage of the visual pathway and testing the predictive power of these models on the responses to movies of natural scenes, which would be an invaluable guide for understanding the underlying biophysical and anatomical mechanisms and relating neural responses to visual perception.
Journal ArticleDOI

Classifying simple and complex cells on the basis of response modulation.

TL;DR: Evidence is reviewed which indicates that this simple, objective classification criterion based on the form of the response to drifting sinusoidal gratings divides neurons of the striate cortex in both cats and monkeys into two groups that correspond closely to the classically-described simple and complex classes.
Journal ArticleDOI

Mechanisms of contour perception in monkey visual cortex. II. Contours bridging gaps

TL;DR: The contour responses in V2, the nonadditivity, and the effect of closure can be explained by the previously proposed model (Peterhans et al., 1986), assuming that the corners excite end-stopped fields orthogonal to the contours whose signals are pooled in the contour neurons.
Journal ArticleDOI

Logical/linear operators for image curves

TL;DR: A family of logical/linear (L/L) operators appropriate for measuring the low-order differential structure of image curves is developed, derived by decomposing a linear model into logical components to ensure that certain structural preconditions for the existence of an image curve are upheld.
References
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Journal ArticleDOI

Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

TL;DR: This method is used to examine receptive fields of a more complex type and to make additional observations on binocular interaction and this approach is necessary in order to understand the behaviour of individual cells, but it fails to deal with the problem of the relationship of one cell to its neighbours.
Journal ArticleDOI

Theory of Edge Detection

TL;DR: The theory of edge detection explains several basic psychophysical findings, and the operation of forming oriented zero-crossing segments from the output of centre-surround ∇2G filters acting on the image forms the basis for a physiological model of simple cells.
Journal ArticleDOI

Receptive fields of single neurones in the cat's striate cortex

TL;DR: The present investigation, made in acute preparations, includes a study of receptive fields of cells in the cat's striate cortex, which resembled retinal ganglion-cell receptive fields, but the shape and arrangement of excitatory and inhibitory areas differed strikingly from the concentric pattern found in retinalganglion cells.
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What the Frog's Eye Tells the Frog's Brain

TL;DR: The results show that for the most part within that area of the optic nerve of a frog, it is not the light intensity itself but rather the pattern of local variation of intensity that is the exciting factor.
Journal ArticleDOI

Single units and sensation: a neuron doctrine for perceptual psychology?

TL;DR: To understand nervous function one needs to look at interactions at a cellular level, rather than either a more macroscopic or microscopic level, because behaviour depends upon the organized pattern of these intercellular interactions.
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