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Testicular cancer in 2023: Current status and recent progress
Ca-A Cancer Journal for CliniciansDeaglan J Mchugh, Jack Patrick Gleeson
exaly
Invariance of visual operations at the level of receptive fields. [PDF]
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
doaj +15 more sources
Receptive Field Space for Point Cloud Analysis [PDF]
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.
Zhongbin Jiang, Hai Tao, Ye Liu
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Spatial frequency adaptation modulates population receptive field sizes [PDF]
The 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 ...
Ecem Altan +3 more
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Receptive field inference with localized priors. [PDF]
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]
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
core +9 more sources
qPRF: A system to accelerate population receptive field modeling [PDF]
BOLD response can be fitted using the population receptive field (PRF) model to reveal how visual input is represented on the cortex (Dumoulin and Wandell, 2008). Fitting the PRF model costs considerable time, often requiring days to analyze BOLD signals
Sebastian Waz, Yalin Wang, Zhong-Lin Lu
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Multi-Branch Cascade Receptive Field Residual Network
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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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
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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