Neural network model for the coordinated formation of orientation preference and orientation selectivity maps

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Neural network model for the coordinated formation of orientation preference and orientation selectivity maps.

Earlier models for the self-organization of orientation preference and orientation selectivity maps are explicitly designed to reproduce the functional structures observed in cortical tissue. They mostly use formal though biologically motivated implementations and artifical assumptions to achieve this result. In particular, orientation selective cells are usually encoded by doubling the orienta...

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Development of joint ocular dominance and orientation selectivity maps in a correlation-based neural network model

A new correlation-based model for ocular dominance and orientation selectivity columns is proposed. This model can be used to obtain realistic maps for either the ocular dominance maps or orientation selectivity maps. It can also be used to generate joint maps that take into account the extra requirements related to the singularities of the orientation selectivity map and the relative angles of...

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Bayesian estimation of orientation preference maps

Imaging techniques such as optical imaging of intrinsic signals, 2-photon calcium imaging and voltage sensitive dye imaging can be used to measure the functional organization of visual cortex across different spatial and temporal scales. Here, we present Bayesian methods based on Gaussian processes for extracting topographic maps from functional imaging data. In particular, we focus on the esti...

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Orientation selectivity: models and neural mechanisms

Introduction The focus of this article is mechanisms of orientation selectivity in the visual cortex. Although many scientists have been working on this issue for many years, it resists a final comprehensive explanation. (Here we will emphasize what is known about striate cortex, V1, of macaque monkeys, but many important sources cited are from cat visual cortex experiments). In V1 there is a t...

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Filtering of an image with rotated versions of an orientation selective filter yields a set of images which can be stacked to form an orientation space. Orientation space provides a means of analyzing overlapping and touching anisotropic textures. A set of rotated k order directional derivatives yields a discrete orientation space, which allows interpolation. Next we apply a deconvolution schem...

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ژورنال

عنوان ژورنال: Physical Review E

سال: 1994

ISSN: 1063-651X,1095-3787

DOI: 10.1103/physreve.50.4167