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Neurocomputing, ISSN 0925-2312, 04/2017, Volume 232, pp. 94 - 103
Fuzzy cognitive maps (FCMs) are fuzzy influence graphs which consist of concepts and weighted edges. Various transfer functions have been applied in modelling... 
Wavelet | Fuzzy cognitive maps | Pattern classification | NEURAL-NETWORKS | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION
Journal Article
IEEE Transactions on Human-Machine Systems, ISSN 2168-2291, 08/2016, Volume 46, Issue 4, pp. 498 - 509
This paper proposes a new method, i.e., weighted hierarchical depth motion maps (WHDMM) + three-channel deep convolutional neural networks (3ConvNets), for... 
Training | Action recognition | depth maps | pseudocolor coding | deep learning | Image recognition | Neural networks | Feature extraction | Cameras | Spatiotemporal phenomena | Yttrium | ENSEMBLE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, CYBERNETICS | FEATURES | Datasets | Construction | Human motion | Algorithms | Maps | Strategy | Moving object recognition | Image enhancement
Journal Article
Journal of Neuroscience, ISSN 0270-6474, 03/2011, Volume 31, Issue 13, pp. 4792 - 4804
The representation of orientation in primary visual cortex (V1) has been examined at a fine spatial scale corresponding to the columnar architecture. We... 
HUMAN VISUAL-CORTEX | BRAIN ACTIVITY | CAT STRIATE CORTEX | FIELD | OCCIPITAL CORTEX | GANGLION-CELLS | FMRI DATA | NEURONS | PATTERN-ANALYSIS | NEURAL BASIS | NEUROSCIENCES | Young Adult | Photic Stimulation - methods | Humans | Magnetic Resonance Imaging - methods | Adult | Female | Male | Brain Mapping - methods | Orientation - physiology | Visual Cortex - physiology
Journal Article
Journal of Comparative Neurology, ISSN 0021-9967, 10/2017, Volume 525, Issue 15, pp. 3190 - 3206
Brain atlases play an important role in effectively communicating results from neuroimaging studies in a standardized coordinate system. Furthermore, brain... 
brain atlas | cerebral cortex | magnetic resonance imaging | RRID: SCR_001622 | RRID: SCR_005619 | cat | tissue probability map | RRID: SCR_007037 | MRI | 3RD SOMATOSENSORY AREA | RETINOTOPIC ORGANIZATION | NEUROSCIENCES | AFFERENT CONNECTIONS | SUPRASYLVIAN SULCUS | ZOOLOGY | BODY-SURFACE | VISUAL-CORTEX | THALAMIC PROJECTIONS | AUDITORY-CORTEX | BRAIN | Brain - diagnostic imaging | Brain - anatomy & histology | White Matter - anatomy & histology | Atlases as Topic | Imaging, Three-Dimensional - methods | Magnetic Resonance Imaging - methods | Gray Matter - diagnostic imaging | Neurosurgical Procedures | Cats - anatomy & histology | Neural Pathways - anatomy & histology | White Matter - diagnostic imaging | Algorithms | Animals | Gray Matter - anatomy & histology | Neural Pathways - diagnostic imaging | Cerebrospinal Fluid - diagnostic imaging | Female | Nonlinear Dynamics | Pattern Recognition, Automated - methods | Magnetic resonance imaging | Cats | Information management | Neuroimaging | Brain | Cerebral cortex | Nuclear magnetic resonance--NMR | Segmentation | Image processing | Cerebrospinal fluid | Substantia grisea | Surgery | Functional magnetic resonance imaging | Activation analysis | Atlases | Communication | Data analysis | Medical imaging | Brain architecture | Preprocessing | Dimensional measurement | Cortex | Brain mapping | Data processing | Substantia alba | Neurology | Image segmentation | Neural networks | Stereotaxic surgery
Journal Article
Nature Neuroscience, ISSN 1097-6256, 10/2015, Volume 18, Issue 10, pp. 1432 - 1433
As conversion of odor signals to a two-dimensional map of activated glomeruli in the olfactory bulb is the key to odor recognition, decoding and deorphanizing... 
NEURONS | IDENTIFICATION | NEUROSCIENCES | FUNCTIONAL EXPRESSION | BULB | ODORANT RECEPTOR | Sensory receptors | Neural transmission | Genetic aspects | Observations | Smell
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 08/2019, Volume 29, Issue 8, pp. 2323 - 2336
Deep convolutional neural network (DCNN) has been successfully applied to depth map super-resolution and outperforms existing methods by a wide margin.... 
Deconvolution | Convolutional neural network | super-resolution | Color | DH-HEMTs | depth map | novel view synthesis | Cameras | Task analysis | Spatial resolution | Super-Resolution | Convolutional Neural Network | Depth Map | Novel View Synthesis | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer Science - Computer Vision and Pattern Recognition
Journal Article
Neurocomputing, ISSN 0925-2312, 07/2018, Volume 297, pp. 33 - 39
Recently, deep neural networks have demonstrated remarkable progresses for human action recognition in videos. However, most existing deep frameworks can not... 
Action recognition | Discriminative information | Video analysis | 3D-CNN | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks | Analysis
Journal Article