Results 1 to 10 of about 379,465 (333)

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   +8 more sources

Receptive Field Space for Point Cloud Analysis [PDF]

Sensors
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
doaj   +2 more sources

Spatial frequency adaptation modulates population receptive field sizes [PDF]

eLife
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, Catherine A Morgan, Steven C Dakin, D Samuel Schwarzkopf   +3 more
doaj   +2 more sources

Learning receptive field properties of complex cells in V1.

PLoS Computational Biology, 2021
There are two distinct classes of cells in the primary visual cortex (V1): simple cells and complex cells. One defining feature of complex cells is their spatial phase invariance; they respond strongly to oriented grating stimuli with a preferred ...
Yanbo Lian, Ali Almasi, David B Grayden, Tatiana Kameneva, Anthony N Burkitt, Hamish Meffin   +5 more
doaj   +3 more sources

qPRF: A system to accelerate population receptive field modeling [PDF]

NeuroImage
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
doaj   +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

Visual Deprivation Retards the Maturation of Dendritic Fields and Receptive Fields of Mouse Retinal Ganglion Cells

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, Hong-Ping Xu, Ping Wang, Ning Tian, Ning Tian   +4 more
doaj   +1 more source

Correction: Spatial frequency adaptation modulates population receptive field sizes

eLife
Ecem Altan, Catherine A Morgan, Steven C Dakin, D Samuel Schwarzkopf   +3 more
doaj   +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   +1 more source

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, Linyuan Wang, Panpan Chen, Ruoxi Qin, Libin Hou, Bin Yan   +5 more
doaj   +1 more source