Category:Neural networks
Bước tới điều hướng
Bước tới tìm kiếm
network or circuit of neurons | |||||
Tải lên phương tiện | |||||
Là tập hợp con của |
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Một phần của |
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Khác với | |||||
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This category are for articles about biological neural networks.
Articles about artificial neural networks are in Category:Artificial neural networks.
Thể loại con
Thể loại này có 12 thể loại con sau, trên tổng số 12 thể loại con.
A
C
- Chandelier cells (1 P, 5 F)
D
G
- Galves–Löcherbach model (4 F)
H
- Human connectome (19 F)
L
- Large-scale brain network (1 F)
N
- Neural decoding (10 F)
Tập tin trong thể loại “Neural networks”
200 tập tin sau nằm trong thể loại này, trong tổng số 279 tập tin.
(Trang trước) (Trang sau)-
2D data training SOM.gif 635×801; 1,39 MB
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A-Neurocomputational-Model-of-Goal-Directed-Navigation-in-Insect-Inspired-Artificial-Agents-Video1.ogv 3 min 3 s, 1.280×1.024; 11,37 MB
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A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s007.ogv 30 s, 1.280×720; 11,61 MB
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A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s008.ogv 30 s, 1.280×720; 8,81 MB
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A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s009.ogv 30 s, 1.280×720; 8,85 MB
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A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s010.ogv 30 s, 1.280×720; 9,56 MB
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Accuracy per T allN dec13 submission.png 640×480; 46 kB
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AdobeSpeechEnhancementScreenshot.png 1.896×1.077; 105 kB
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Amplitude-of-the-SCN-Clock-Enhanced-by-the-Behavioral-Activity-Rhythm-pone.0039693.s003.ogv 1 min 1 s, 640×480; 1,29 MB
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Amplitude-of-the-SCN-Clock-Enhanced-by-the-Behavioral-Activity-Rhythm-pone.0039693.s004.ogv 59 s, 640×480; 1,21 MB
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Ann Recurrente.jpg 2.448×3.264; 284 kB
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Asegsde.PNG 653×776; 101 kB
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Attention-qkv.png 2.129×906; 152 kB
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Bipolar Rectified Linear Unit (BReLU).png 120×101; 1 kB
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BPM input space wiki.pdf 1.239×1.752; 381 kB
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BPM MLP wiki.pdf 1.239×1.752; 383 kB
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Brainstem-and-Spinal-Cord-Circuitry-Regulating-REM-Sleep-and-Muscle-Atonia-pone.0024998.s001.ogv 16 s, 1.664×860; 1,39 MB
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Caption 1.jpg 640×400; 10 kB
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Cayley Tree Branch with Branching Ratio = 2.jpg 2.188×1.906; 1,05 MB
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CerebCircuit.png 388×377; 23 kB
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Characterization-of-the-Gbx1−−-Mouse-Mutant-A-Requirement-for-Gbx1-in-Normal-Locomotion-and-pone.0056214.s002.ogv 1 min 14 s, 480×360; 6,57 MB
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Clasification.png 454×340; 455 kB
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Closed Cayley Tree with Branching Ratio = 4.jpg 2.666×1.584; 1,14 MB
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Codi 16bit cell.png 553×181; 46 kB
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Codi chromosome start growth.png 583×177; 51 kB
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Comparison of Loss functions for binary classification.png 1.920×756; 45 kB
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Comparison of loss functions.png 1.545×811; 41 kB
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Comparison of speed and accuracy of detectors.png 1.094×1.021; 363 kB
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Connectome extraction procedure.jpg 3.652×3.127; 1,11 MB
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Continuous-Attractor-Network-Model-for-Conjunctive-Position-by-Velocity-Tuning-of-Grid-Cells-pcbi.1003558.s001.ogv 5 min 0 s, 1.500×1.000; 5,74 MB
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Cortical Columns.jpg 2.304×1.800; 1,85 MB
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Decaying Sine Unit (DSU).png 3.000×2.000; 420 kB
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Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s021.ogv 6,4 s, 1.220×1.020; 2,13 MB
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Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s022.ogv 6,4 s, 1.280×1.080; 5,76 MB
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Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s023.ogv 6,4 s, 1.220×1.020; 2,16 MB
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Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s024.ogv 6,4 s, 1.220×1.020; 1,16 MB
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Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s025.ogv 6,4 s, 1.280×1.080; 11,76 MB
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Default-network-graph-maturation.jpeg 3.006×2.827; 588 kB
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Diagram of the Microanatomy of Human Cerebellar Cortex.svg 512×497; 12 kB
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Diagrama Flujo red ART.png 490×620; 5 kB
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DiagramElmanNet deutsch.png 2.051×736; 58 kB
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DiagramElmanNet english.png 2.017×739; 52 kB
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DiagramElmanNet.png 1.463×739; 28 kB
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DiagramTDNN.png 956×2.383; 88 kB
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Dibujo2.jpg 640×400; 13 kB
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Dictionnaire Sparse Coding.png 2.400×1.800; 248 kB
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Domino Analogy.jpg 2.479×1.379; 3,69 MB
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DZOpQ44X4AM8m t.jpg 2.048×1.152; 167 kB
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Elementary perceptron.jpg 2.126×1.024; 181 kB
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Emergence-of-Assortative-Mixing-between-Clusters-of-Cultured-Neurons-pcbi.1003796.s007.ogv 20 s, 342×312; 16,33 MB
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Evil Shōki NN.svg 4.260×2.472; 3,16 MB
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Exploring-the-Morphospace-of-Communication-Efficiency-in-Complex-Networks-pone.0058070.s007.ogv 41 s, 1.600×1.200; 6,15 MB
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Exploring-the-Morphospace-of-Communication-Efficiency-in-Complex-Networks-pone.0058070.s008.ogv 42 s, 1.600×1.200; 4,49 MB
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ExtendedCorrelationFunction.jpg 2.960×2.416; 300 kB
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Fcell-10-1071961-g001.jpg 920×540; 141 kB
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Feedforward-vs-feedback-driven-eye-movements.svg 661×248; 25 kB
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Figura6.Marcha.jpg 1.313×721; 107 kB
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Fitting a straight line to a data with outliers.png 1.011×610; 48 kB
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Five scenarios of evolution from chaos to stagnation depending on selfishness level.ogv 2 min 5 s, 1.564×880; 89,78 MB
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Fphy-08-525731.pdf 1.239 × 1.622, 8 trang; 2,64 MB
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From-Spontaneous-Motor-Activity-to-Coordinated-Behaviour-A-Developmental-Model-pcbi.1003653.s006.ogv 1 min 31 s, 853×480; 1,8 MB
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Fully connected architecture.pdf 2.310×3.247; 81 kB
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Functional-Brain-Networks-Develop-from-a-“Local-to-Distributed”-Organization-pcbi.1000381.s009.ogv 49 s, 1.024×768; 18,46 MB
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Gia Dvali.webm 12 min 27 s, 640×360; 33,52 MB
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Global Brain - centralized information processing.gif 400×300; 17 kB
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Global Brain - columns and layes in neural structure.gif 749×818; 35 kB
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Global Brain - exformation as invisible output.gif 735×558; 17 kB
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Global Brain - neural company (neuro-bionics).png 996×1.130; 374 kB
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Global Brain - philosophical dualisms.gif 182×141; 17 kB
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Global Brain - single neuron represents activity pattern.gif 450×450; 154 kB
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Global Brain - supranational communication patterns.gif 400×300; 29 kB
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Growing Cosine Unit (GCU) activation function.png 3.000×2.186; 273 kB
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GWNN and GWR prediction differences.jpg 1.200×1.179; 110 kB
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Hidden space linear classifier on Gaussian data.png 500×350; 7 kB
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Hindmarsh-Rose membrane potential.png 1.032×593; 7 kB
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Hypothesized Propagation of Activity in Human Neocortex.jpeg 611×538; 26 kB
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Imgmulticamadas.png 278×205; 21 kB
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Imgperceptron.png 404×166; 19 kB
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Isometric view of Tobermory Phase I.png 1.557×908; 644 kB
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Izhikevich - High Resolution (360).gif 763×687; 17,17 MB
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Izhikevich - Low Resolution.gif 555×500; 22 MB
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Learning-indoor-robot-navigation-using-visual-and-sensorimotor-map-information-Movie1.ogv 36 s, 400×300; 9,68 MB
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Learning-indoor-robot-navigation-using-visual-and-sensorimotor-map-information-Movie2.ogv 3 min 15 s, 1.072×608; 28,83 MB
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Leg Neural Network.jpg 837×556; 39 kB
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LSTM cell.svg 524×341; 26 kB
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LSTM Cell.svg 512×350; 20 kB
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McClelland Seidenberg reproduction of units diagram.PNG 350×194; 5 kB
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MnistExamples.png 594×361; 69 kB
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MnistExamplesModified.png 557×327; 70 kB
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Module.PNG 702×539; 34 kB
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Module2.PNG 702×539; 35 kB
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Multi-Label Wireless Interference Identification with Convolutional Neural Networks.pdf 1.275 × 1.650, 6 trang; 346 kB
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Mycrossdatabase.jpg 850×1.170; 244 kB
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Nerve-cell-neuron-brain-neurons.png 2.400×3.904; 1,36 MB
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Network-analysis-of-time-lapse-microscopy-recordings-Video1.ogv 1 min 15 s, 1.920×1.080; 25,22 MB
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Network-analysis-of-time-lapse-microscopy-recordings-Video2.ogv 1 min 31 s, 1.920×1.080; 16,22 MB
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Neural detector nossenson 2013.png 3.675×2.034; 364 kB
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Neural nets diagram.jpg 524×496; 25 kB
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Neural network based constitutive model.jpg 390×206; 15 kB
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Neural network picture.png 1.066×900; 144 kB
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Neural network tutorial.gif 270×143; 853 byte
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Neural network with dark background.png 1.280×1.039; 837 kB
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Neural Network.gif 467×325; 4 kB
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Neuron - annotated-it.svg 527×298; 19 kB
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Neuron - annotated.svg 527×298; 18 kB
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Neuron w PositiveFeedback.jpg 313×81; 5 kB
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Neuronal-Networks-Feedback.png 476×305; 11 kB
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Neuronales Unternehmen (Büro-Neuronen).jpg 1.080×1.920; 232 kB
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Neutral network.png 3.587×1.387; 3,49 MB
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Nonspiking Transmission.jpg 1.131×467; 47 kB
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Normalizing-flow.svg 564×161; 28 kB
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Nueral tissue 200x magnification.jpg 2.619×2.684; 1.019 kB
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