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Published in 2017 at "Current Biology"
DOI: 10.1016/j.cub.2017.07.063
Abstract: Cone bipolar cells are interneurons that receive synaptic input from cone photoreceptor cells and provide the output of the first synaptic layer of the retina. These cells exhibit center-surround receptive fields, a prototype of lateral…
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Keywords:
cell;
cone bipolar;
receptive field;
cone ... See more keywords
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Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.06.035
Abstract: ABSTRACT We introduce the feature‐weighted receptive field (fwRF), an encoding model designed to balance expressiveness, interpretability and scalability. The fwRF is organized around the notion of a feature map—a transformation of visual stimuli into visual…
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Keywords:
feature;
model;
receptive field;
weighted receptive ... See more keywords
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Published in 2018 at "Neuroimage"
DOI: 10.1016/j.neuroimage.2017.11.022
Abstract: &NA; The spatial sensitivity of the human visual system depends on stimulus color: achromatic gratings can be resolved at relatively high spatial frequencies while sensitivity to isoluminant color contrast tends to be more low‐pass. Models…
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Keywords:
population receptive;
field;
sensitivity;
size ... See more keywords
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Published in 2017 at "Neuroscience"
DOI: 10.1016/j.neuroscience.2017.07.003
Abstract: The receptive fields of many auditory cortical neurons are multidimensional and are best represented by more than one stimulus feature. The number of these dimensions, their characteristics, and how they differ with stimulus context have…
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Keywords:
receptive field;
stimulus;
auditory cortical;
multidimensional receptive ... See more keywords
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Published in 2017 at "Neuroscience"
DOI: 10.1016/j.neuroscience.2017.10.032
Abstract: Afferent chorda tympani (CT) fibers innervating anterior tongue fungiform papillae have neuron cell bodies in the geniculate ganglion (GG). To characterize electrophysiological and receptive field properties, we recorded extracellular responses from single GG neurons to…
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Keywords:
field;
chemical thermal;
receptive field;
thermal neurons ... See more keywords
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Published in 2018 at "Vision Research"
DOI: 10.1016/j.visres.2017.09.002
Abstract: Graphical abstract Figure. No Caption available. HighlightsBlue‐on and blue‐off receptive‐field properties were identified in primate LGN.Sensitivities to short‐wave (S) and medium/long‐wave (ML) cone contrast are similar.S and ML receptive field subunits have similar spatial extents.Vector…
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Keywords:
field properties;
contrast;
blue receptive;
blue blue ... See more keywords
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2
Published in 2022 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927622012466
Abstract: Abstract Trained neural networks are promising tools to analyze the ever-increasing amount of scientific image data, but it is unclear how to best customize these networks for the unique features in transmission electron micrographs. Here,…
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Keywords:
tem;
network;
receptive field;
microscopy ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3023782
Abstract: With the continuous development of deep learning, face detection methods have made the greatest progress. For real-time detection, cascade CNN based on the lightweight model is still the dominant structure that predicts face in a…
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Keywords:
enhanced multi;
receptive field;
field enhanced;
face detection ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3225556
Abstract: 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. Therefore, when projecting points onto a 2D image, such…
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Keywords:
dilated convolution;
receptive field;
distance;
lidar ... See more keywords
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1
Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3268177
Abstract: The convolutional neural network (CNN) has a poor performance in nonuniform and edge regions due to the limitation of fixed receptive field. At the same time, feature stacking of input data can bring burden and…
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Keywords:
feature selection;
network;
reg superpixel;
receptive field ... See more keywords
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3
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3110584
Abstract: Due to the rapid development of deep learning techniques and the collection of large-scale remote sensing datasets, convolutional neural networks (CNNs) have made significant progress in remote sensing object detection. However, due to the diversity…
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Keywords:
object detection;
receptive field;
detection;
remote sensing ... See more keywords