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Invariance of visual operations at the level of receptive fields. [PDF]
PLoS ONE, 2013 The brain is able to maintain a stable perception although the visual stimuli vary substantially on the retina due to geometric transformations and lighting variations in the environment.
Tony Lindeberg
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Receptive field inference with localized priors. [PDF]
PLoS Computational Biology, 2011 The linear receptive field describes a mapping from sensory stimuli to a one-dimensional variable governing a neuron's spike response. However, traditional receptive field estimators such as the spike-triggered average converge slowly and often require ...
Mijung Park, Jonathan W Pillow
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Bayesian population receptive field modelling [PDF]
NeuroImage, 2016 We introduce a probabilistic (Bayesian) framework and associated software toolbox for mapping population receptive fields (pRFs) based on fMRI data. This generic approach is intended to work with stimuli of any dimension and is demonstrated and validated
Aponte +40 more
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Multi-Branch Cascade Receptive Field Residual Network
IEEE Access, 2023 Deep convolutional neural networks (CNNs) have significantly enhanced image classification in the past decade. This paper proposes Multi-branch Cascade Receptive Field Residual Networks (MCRF-ResNets) based on the original Residual Network (ResNet ...
Xudong Zhang, Wenjie Liu, Guoqing Wu
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Frontiers in Cellular Neuroscience, 2021 It was well documented that both the size of the dendritic field and receptive field of retinal ganglion cells (RGCs) are developmentally regulated in the mammalian retina, and visual stimulation is required for the maturation of the dendritic and ...
Hui Chen +4 more
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A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity
Brain Sciences, 2022 Research on visual encoding models for functional magnetic resonance imaging derived from deep neural networks, especially CNN (e.g., VGG16), has been developed.
Shuxiao Ma +5 more
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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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