Results 41 to 50 of about 368,659 (337)
Detection Algorithm of Small Target in Receptive Field Block
Jisuanji kexue yu tansuo, 2021 The one-stage algorithm SSD (single shot multibox detector) proposed earlier will increase the number of computation channels after 3×3 convolution in the feature extraction of the backbone network. At the same time, these extracted features are directly
CHEN Haoran, PENG Li
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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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The spatial structure of a nonlinear receptive field [PDF]
Nature Neuroscience, 2012 Understanding a sensory system implies the ability to predict responses to a variety of inputs from a common model. In the retina, this includes predicting how the integration of signals across visual space shapes the outputs of retinal ganglion cells. Existing models of this process generalize poorly to predict responses to new stimuli.
Dunn, Felice +7 more
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Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Population Ecology, EarlyView.Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
Downsampling Algorithm with Fusion of Different Receptive Field Sizes in Deep Detection Methods [PDF]
Jisuanji kexue yu tansuoThe advantage of deep detection models primarily benefits from the feature representation ability of the backbone network, where down-sampling plays a key role in semantic integration.
GU Zhenghua, LIU Gaqiong, SHAO Changbin, YU Hualong
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Multilevel receptive field expansion network for small object detection
IET Image Processing, 2023 Small object detection remains a bottleneck because there is little visual information about them, especially in the deep layers. To improve the detection performance of small objects, here, Swin Transformer is introduced as the model backbone network to
Zhiwei Liu +4 more
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A population receptive field model of the magnetoencephalography response
NeuroImage, 2021 Computational models which predict the neurophysiological response from experimental stimuli have played an important role in human neuroimaging. One type of computational model, the population receptive field (pRF), has been used to describe cortical ...
Eline R. Kupers +6 more
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Generation of Direction Selectivity by Isotropic Intracortical Connections [PDF]
, 1992 To what extent do the mechanisms generating different receptive field properties of neurons depend on each other? We investigated this question theoretically within the context of orientation and direction tuning of simple cells in the mammalian visual ...
Koch, Christof +2 more
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Population Ecology, EarlyView.Population size and dynamics fundamentally shape speciation by influencing genetic drift, founder events, and adaptive potential. Small populations may speciate rapidly due to stronger drift, whereas large populations harbor more genetic diversity, which can alter divergence trajectories. We highlight theoretical models that incorporate population size
Ryo Yamaguchi +3 more
wiley +1 more source
Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex
Frontiers in Computational Neuroscience, 2014 Temporal variability of neuronal response characteristics during sensory stimulation is a ubiquitous phenomenon that may reflect processes such as stimulus-driven adaptation, top-down modulation or spontaneous fluctuations.
Arne Freerk Meyer +4 more
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