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Neural computation of visual imaging based on Kronecker product in the primary visual cortex
According to the understanding of retinal organization and parallel multi-channel topographical mapping between retina and primary visual cortex V1, an image is divided into orthogonal and orderly array of image primitives (or patches), in which each patch will evoke activities of simple cells in V1.
A new turbulence energy cascade pattern and its scaling law
A new energy cascade principle, synchro-cascade pattern, to better understand the mechanism of turbulence, is presented. Its main features are: self-similarity, intermittency and non-uniformity or
Information processing in visual channel ( I)——A synchro-oscillating and homomorphic filtering model
A synchro-oscillating and homomorphic filtering model processing visual information was developed by combining the representation of visual objects with the synchronous firing of neuronal groups
The representation of visual depth perception based on the plenoptic function in the retina and its neural computation in visual cortex V1
The results of this study show that the use of plenoptic functions and their dual plane parameterizations can not only explain the nature of information processing from the retina to the primary visual cortex and, in particular, the characteristics of the visual pathway’s optical system and its affine transformation, but they can clarify the reason why the vanishing point and line exist in a visual image.
A computational model of early vision based on synchronized response and inner product operation
A new early-vision complete computational model is proposed in this paper, which mainly based on probabilistic reasoning for visual information processing and combination of the synchronized response with the sparse representation reflects the nature of the excitation of neurons in the V1 cortex by local characteristics of the external stimuli.
Rotating annulus experiment: large-scale helical soliton in the atmosphere?
It was shown that the formation of their helical structures is related to the adapting process of atmosphere to the rotation of the earth and that their dynamic characteristics as solitons come from a result of an equilibrium between their dispersion and the nonlinear convergence of the anticyclones.
A neural computational model for bottom-up attention with invariant and overcomplete representation
AbstractBackgroundAn important problem in selective attention is determining the ways the primary visual cortex contributes to the encoding of bottom-up saliency and the types of neural computation
A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex
It is proved that the model, as a neurodecoder, implements optimum algorithm decode visual information from neuronal spike trains at the system level, and provides a deeper understanding of the role of synchronized responses in decoding visual information.
A Computational Model that Realizes a Sparse Representation of the Primary Visual Cortex V1
A complete neural computational model of visual information processing, which consists of multiscale filtering, phase synchronization, and inner-product formation, reveals clearly a computational process of inner-Product formation that is an effective approach to realizing a sparse representation of external visual images.
Hard state of the urban canopy layer turbulence and its self-similar multiplicative cascade models
It is found by experiment that under the thermal convection condition, the temperature fluctuation in the urban canopy layer turbulence has the hard state character, and the temperature difference