Results 21 to 30 of about 381,300 (334)
Frontiers in Neuroscience, 2019 Fixational eye movements induce aperiodic motion of the retinal image. However, it is not yet fully understood how fixational eye movements affect retinal information processing.
Akihiro Matsumoto +4 more
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PLoS Computational Biology, 2016 Cortical sensory neurons are commonly characterized using the receptive field, the linear dependence of their response on the stimulus. In primary auditory cortex neurons can be characterized by their spectrotemporal receptive fields, the spectral and ...
Nicol S Harper +5 more
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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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Mapping sequences can bias population receptive field estimates
NeuroImage, 2020 Population receptive field (pRF) modelling is a common technique for estimating the stimulus-selectivity of populations of neurons using neuroimaging. Here, we aimed to address if pRF properties estimated with this method depend on the spatio-temporal ...
Elisa Infanti, D. Samuel Schwarzkopf
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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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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
PLoS Computational Biology, 2013 Receptive fields acquired through unsupervised learning of sparse representations of natural scenes have similar properties to primary visual cortex (V1) simple cell receptive fields.
Jonathan J Hunt +2 more
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Frontiers in Computational Neuroscience, 2016 Mechanisms underlying the emergence and plasticity of representational discontinuities in the mammalian primary somatosensory cortical representation of the hand are investigated in a computational model. The model consists of an input lattice organized
Kamil A. Grajski
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Stereo Matching Algorithm Based on Atrous Convolution and Attention Module [PDF]
Jisuanji gongcheng, 2023 Most of the stereo matching algorithms based on convolutional neural networks require a large receptive field. However, the number of parameters in most algorithms is easy to increase when the receptive field is enlarged, which leads to high requirements
Zhihao LIU, Fanyun MENG, Jinhe WANG, Nan ZHANG
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An Adaptive Locally Connected Neuron Model: Focusing Neuron
, 2020 This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The model provides adaptive and differentiable local connectivity (plasticity) applicable to any domain.
Tek, F. Boray
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