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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 orExpand
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Information processing in visual channel ( I)——A synchro-oscillating and homomorphic filtering model
TLDR
A synchro-oscillating and homomorphic filtering model processing visual information was developed by combining the representation of visual objects with synchronous firing of neuronal groups based on the results of neurobiological experiments. Expand
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The representation of visual depth perception based on the plenoptic function in the retina and its neural computation in visual cortex V1
TLDR
We propose a method for introducing a three-dimensional Cartesian coordinate system into a two-dimensional plane to express the depth of a scene, its constraints, and algorithmic implementation. Expand
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Neural computation of visual imaging based on Kronecker product in the primary visual cortex
TLDR
We use Kronecker product between patches and function architecture (or functional column) in neural computation of visual cortex V1. Expand
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A computational model of early vision based on synchronized response and inner product operation
TLDR
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. Expand
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Rotating annulus experiment: large-scale helical soliton in the atmosphere?
A typhoon is a cyclone vortex with a warm low pressure center, formed over tropical oceanic waters. A large-scale rotating annulus experiment of fluid dynamics is carried out, under the conditions ofExpand
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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 computationExpand
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A Computational Model that Realizes a Sparse Representation of the Primary Visual Cortex V1
TLDR
We propose a complete neural computational model of visual information processing, which consists of multiscale filtering, phase synchronization, and inner-product formation. Expand
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A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex
Based on synchronized responses of neuronal populations in the visual cortex to external stimuli, we proposed a computational model consisting primarily of a neuronal phase-locked loop (NPLL) andExpand
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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 differenceExpand
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