Local receptive fields based extreme learning machine with hybrid filter kernels for image classification
Sign Up to like & getrecommendations! Published in 2019 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-018-0598-9
Abstract: In this paper, an innovative method called extreme learning machine with hybrid local receptive fields (ELM-HLRF) is presented for image classification. In this method, filters generated by Gabor functions and the randomly generated convolution filters… read more here.
Keywords: learning machine; machine; receptive fields; local receptive ... See more keywords
Extreme learning machine with multi-structure and auto encoding receptive fields for image classification
Sign Up to like & getrecommendations! Published in 2020 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-020-00708-1
Abstract: In order to adequately extract and utilize identifiable information in the image to improve classification accuracy, extreme learning machine with multi-structure and auto encoding receptive fields (ELM-MAERF) is proposed based on local receptive fields based… read more here.
Keywords: receptive fields; classification; extreme learning; learning machine ... See more keywords
Normative theory of visual receptive fields
Sign Up to like & getrecommendations! Published in 2021 at "Heliyon"
DOI: 10.1016/j.heliyon.2021.e05897
Abstract: This article gives an overview of a normative theory of visual receptive fields. We describe how idealized functional models of early spatial, spatio-chromatic and spatio-temporal receptive fields can be derived in a principled way, based… read more here.
Keywords: receptive fields; visual receptive; theory visual; normative theory ... See more keywords
Effect of electrical stimulation of receptive fields in people with lower limb amputation on variables of gait
Sign Up to like & getrecommendations! Published in 2020 at "IBRO Reports"
DOI: 10.1016/j.ibror.2020.06.008
Abstract: People with amputation may perceive phantom limb sensations or pain in the amputated body part when ipsilateral body-regions are stimulated. These body-regions are called receptive fields. This study assessed whether receptive fields change in size… read more here.
Keywords: receptive fields; amputation; stimulation; variables gait ... See more keywords
Mapping the human auditory cortex using spectrotemporal receptive fields generated with magnetoencephalography
Sign Up to like & getrecommendations! Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2021.118222
Abstract: We present a novel method to map the functional organization of the human auditory cortex noninvasively using magnetoencephalography (MEG). More specifically, this method estimates via reverse correlation the spectrotemporal receptive fields (STRF) in response to… read more here.
Keywords: receptive fields; spectrotemporal receptive; auditory; cortex ... See more keywords
Spatial scale of receptive fields in the visual sector of the cat thalamic reticular nucleus
Sign Up to like & getrecommendations! Published in 2017 at "Nature Communications"
DOI: 10.1038/s41467-017-00762-7
Abstract: Inhibitory projections from the visual sector of the thalamic reticular nucleus to the lateral geniculate nucleus complete the earliest feedback loop in the mammalian visual pathway and regulate the flow of information from retina to… read more here.
Keywords: receptive fields; feedback; thalamic reticular; visual sector ... See more keywords
Inter-mosaic coordination of retinal receptive fields
Sign Up to like & getrecommendations! Published in 2021 at "Nature"
DOI: 10.1038/s41586-021-03317-5
Abstract: The output of the retina is organized into many detector grids, called ‘mosaics’ that signal different features of visual scenes to the brain1–4. Each mosaic comprises a single retinal ganglion cell (RGC) type, whose receptive… read more here.
Keywords: receptive fields; retinal receptive; mosaic coordination; inter mosaic ... See more keywords
Evidence for the intrinsically nonlinear nature of receptive fields in vision
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-73113-0
Abstract: The responses of visual neurons, as well as visual perception phenomena in general, are highly nonlinear functions of the visual input, while most vision models are grounded on the notion of a linear receptive field… read more here.
Keywords: receptive fields; intrinsically nonlinear; evidence intrinsically; nonlinear nature ... See more keywords
A functional spiking neuronal network for tactile sensing pathway to process edge orientation
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-80132-4
Abstract: To obtain deeper insights into the tactile processing pathway from a population-level point of view, we have modeled three stages of the tactile pathway from the periphery to the cortex in response to indentation and… read more here.
Keywords: receptive fields; network; functional spiking; edge ... See more keywords
Binocular Matching Model Based on Hierarchical V1 and V2 Receptive Fields With Color, Orientation, and Region Feature Information
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2020.2977350
Abstract: Binocular matching models serve as the core component in most stereo visual aid systems developed for people with visual impairments. However, purely computational models lack a neuro-biological basis for explaining the phenomena observed in neuro-biology,… read more here.
Keywords: binocular matching; receptive fields; visual aid; model based ... See more keywords
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.2988791
Abstract: Recent interests in graph neural networks (GNNs) have received increasing concerns due to their superior ability in the network embedding field. The GNNs typically follow a message passing scheme and represent nodes by aggregating features… read more here.
Keywords: receptive fields; aggregation; graph convolutional; network ... See more keywords