Results 11 to 20 of about 350,954 (315)
Receptive Field Space for Point Cloud Analysis [PDF]
SensorsSimilar 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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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
Sebastian Waz, Yalin Wang, Zhong-Lin Lu
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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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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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Nonlinear Hebbian learning as a unifying principle in receptive field formation [PDF]
, 2016 The development of sensory receptive fields has been modeled in the past by a variety of models including normative models such as sparse coding or independent component analysis and bottom-up models such as spike-timing dependent plasticity or the ...
Brito, Carlos S. N., Gerstner, Wulfram
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Shifting Receptive Fields [PDF]
Neuron, 2001 The very notion of a receptive field implies a defined, static region of sensitivity—for visual neurons, a region in retinotopic space. Other factors besides retinal stimulation (such as attentional state) may modulate neural responses, but the shape and position of the receptive field should remain fixed, permanently constrained by anatomical ...
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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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Adaptation-dependent synchronous activity contributes to receptive field size change of bullfrog retinal ganglion cell. [PDF]
PLoS ONE, 2012 Nearby retinal ganglion cells of similar functional subtype have a tendency to discharge spikes in synchrony. The synchronized activity is involved in encoding some aspects of visual input.
Hao Li, Wen-Zhong Liu, Pei-Ji Liang
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Transformable Dilated Convolution by Distance for LiDAR Semantic Segmentation
IEEE Access, 2022 LiDAR semantic segmentation is essential in autonomous vehicle safety. A rotating 3D LiDAR projects more laser points onto nearby objects and fewer points onto farther objects.
Jae-Seol Lee, Tae-Hyoung Park
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Central auditory neurons have composite receptive fields [PDF]
, 2015 High-level neurons processing complex, behaviorally relevant signals are sensitive to conjunctions of features. Characterizing the receptive fields of such neurons is difficult with standard statistical tools, however, and the principles governing their ...
Gentner, T, Kozlov, A
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