Results 11 to 20 of about 381,300 (334)
Receptive Field Space for Point Cloud Analysis. [PDF]
Sensors (Basel)Similar to convolutional neural networks for image processing, existing analysis methods for 3D point clouds often require the designation of a local neighborhood to describe the local features of the point cloud.
Jiang Z, Tao H, Liu Y.
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Spatial frequency adaptation modulates population receptive field sizes. [PDF]
ElifeThe spatial tuning of neuronal populations in the early visual cortical regions is related to the spatial frequency (SF) selectivity of neurons. However, there has been no direct investigation into how this relationship is reflected in population ...
Altan E +3 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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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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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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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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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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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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Correction: Spatial frequency adaptation modulates population receptive field sizes.
ElifeAltan E +3 more
europepmc +2 more sources