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Orientation column

About: Orientation column is a research topic. Over the lifetime, 1142 publications have been published within this topic receiving 130169 citations.


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Journal ArticleDOI
TL;DR: Variability of orientation tuning of primary visual cortical neurons in single orientation columns and the degree of its stability during changes in the level of contrast between stimulus and background were investigated in acute experiments on immobilized cats.
Abstract: Variability of orientation tuning of primary visual cortical neurons in single orientation columns and the degree of its stability during changes in the level of contrast between stimulus and background were investigated in acute experiments on immobilized cats. Several types of orientation columns were found, with the following properties of orientation tuning of their neurons: relatively high, standard, and stable; varying widely from neuron to neuron; invariant regardless of the level of contrast; noninvariant; mixed (invariant-noninvariant). Properties of standardization-nonstandardization, on the one hand, and invariance-noninvariance of the neurons, on the other hand, may be combined differently in a column. Differences of orientation tuning within a column were observed most frequently in neurons of the upper and lower layers of the cortex. Possible differences in the functional role of the variance of orientation columns described and in the mechanisms of formation of the detector properties of their neurons are discussed.
Book ChapterDOI
01 Dec 1997
TL;DR: This work presents a method for calculating conditions for a map model with strong lateral nonlinearity, the high-dimensional version of Kohonen’s Self-Organizing Map (SOM), and analyzes two relevant models, a SOM-model for the development of orientation maps and a SOMs for theDevelopment of ocular dominance maps.
Abstract: The self-organization of sensotopic maps in the brain has been modeled with various approaches, using models with linear [1, 2, 3, 4] and nonlinear [5, 6, 7] lateral interaction functions. In the realm of visual maps, all models are able to generate ocular dominance or orientation structure [8]. Models differ, however, with regard to more subtle effects, like the impact of input correlation on ocular dominance stripe width, the self-organization of oriented receptive fields from non-oriented stimuli or correlation functions, or the preferred angle of intersection between ocular dominance and orientation column systems. For a correct assessment of the behavior of particular models with regard to these or other phenomena, it is dangerous to rely on simulations only. Rather, analytic results on conditions for the pattern formation in map models are desirable. We present here a method for calculating such conditions for a map model with strong lateral nonlinearity, the high-dimensional version of Kohonen’s Self-Organizing Map (SOM). Using this method we then analyze two relevant models, a SOM-model for the development of orientation maps and a SOM-model for the development of ocular dominance maps.
Journal ArticleDOI
08 Mar 2017-Neuron
TL;DR: Parvalbumin interneurons in the cortex are believed to pool inputs from most surrounding excitatory cells independent of their functional properties, but response properties in columnar visual cortex of ferrets are challenged.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231
20223
20212
20208
20192
20189