Results 1 to 10 of about 361,179 (336)
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
doaj +15 more sources
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.
europepmc +2 more sources
A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity. [PDF]
Brain Sci, 2022 Research on visual encoding models for functional magnetic resonance imaging derived from deep neural networks, especially CNN (e.g., VGG16), has been developed.
Ma S +5 more
europepmc +2 more sources
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
doaj +6 more sources
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
core +9 more sources
qPRF: A system to accelerate population receptive field modeling. [PDF]
NeuroimageBOLD 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
Waz S, Wang Y, Lu ZL.
europepmc +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
openaire +3 more sources
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
openaire +6 more sources