Results 11 to 20 of about 368,659 (337)
The Information Content of Receptive Fields [PDF]
Neuron, 2003 The nervous system must observe a complex world and produce appropriate, sometimes complex, behavioral responses. In contrast to this complexity, neural responses are often characterized through very simple descriptions such as receptive fields or tuning curves.
Thomas L. Adelman +2 more
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Normative theory of visual receptive fields [PDF]
Heliyon, 2021 This article gives an overview of a normative computational theory of visual receptive fields, by which idealized functional models of early spatial, spatio-chromatic and spatio-temporal receptive fields can be derived in an axiomatic way based on structural properties of the environment in combination with assumptions about the internal structure of a
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Receptive Field Structures for Recognition [PDF]
Neural Computation, 2006 Localized operators, like Gabor wavelets and difference-of-gaussian filters, are considered useful tools for image representation. This is due to their ability to form a sparse code that can serve as a basis set for high-fidelity reconstruction of natural images.
Pawan Sinha, Benjamin Balas
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Structured Receptive Fields in CNNs [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Reason for update: i) Fix Reference for "Deep roto-translation scattering for object classification" by Oyallon and Mallat. ii) Fixed two minor typos. iii) Removed implicit assumption in equation (4) where scale is represented with diffusion time and adapted to rest of paper where scale is represented with standard deviation, to avoid possible ...
Jacobsen, J.-H. +3 more
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Multi-Scale Receptive Field Detection Network
IEEE Access, 2019 Deep convolutional neural networks have contributed much to various computer vision problems including object detection. However, there are still many problems to be solved.
Haoren Cui, Zhihua Wei
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Perisaccadic remapping and rescaling of visual responses in macaque superior colliculus. [PDF]
PLoS ONE, 2012 Visual neurons have spatial receptive fields that encode the positions of objects relative to the fovea. Because foveate animals execute frequent saccadic eye movements, this position information is constantly changing, even though the visual world is ...
Jan Churan +2 more
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Shifting Receptive Fields [PDF]
Neuron, 2001 The very notion of a receptive field implies a defined, static region of sensitivity—for visual neurons, a region in retinotopic space. Other factors besides retinal stimulation (such as attentional state) may modulate neural responses, but the shape and position of the receptive field should remain fixed, permanently constrained by anatomical ...
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Auto-Selecting Receptive Field Network for Visual Tracking
IEEE Access, 2019 Recently, Convolutional Neural Networks (CNNs) have shown tremendous potential in the visual tracking community. It is well-known that the receptive field is a critical factor for CNN affecting performance.
Junfei Zhuang +4 more
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Dilated Deep Residual Network for Image Denoising [PDF]
, 2017 Variations of deep neural networks such as convolutional neural network (CNN) have been successfully applied to image denoising. The goal is to automatically learn a mapping from a noisy image to a clean image given training data consisting of pairs of ...
Hu, Kaoning +2 more
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Information Optimization in Coupled Audio-Visual Cortical Maps [PDF]
, 2002 Barn owls hunt in the dark by using cues from both sight and sound to locate their prey. This task is facilitated by topographic maps of the external space formed by neurons (e.g., in the optic tectum) that respond to visual or aural signals from a ...
A. Zee +10 more
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