Category:Neural networks

Subcategories

This category has the following 12 subcategories, out of 12 total.

Pages in category "Neural networks"

This category contains only the following page.

Media in category "Neural networks"

The following 200 files are in this category, out of 386 total.

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  2D data training SOM.gif 635 × 801; 1.39 MB
  
• A-Brain-Machine-Muscle-Interface-for-Restoring-Hindlimb-Locomotion-after-Complete-Spinal-pone.0103764.s002.ogv 57 s, 320 × 240; 3.49 MB
  
• A-Computational-Model-of-Afterimage-Rotation-in-the-Peripheral-Drift-Illusion-Based-on-Retinal-pone.0115464.s007.ogv 9.0 s, 720 × 360; 400 KB
  
• A-Computational-Model-of-Afterimage-Rotation-in-the-Peripheral-Drift-Illusion-Based-on-Retinal-pone.0115464.s008.ogv 9.0 s, 720 × 360; 401 KB
  
• A-Computational-Model-of-Afterimage-Rotation-in-the-Peripheral-Drift-Illusion-Based-on-Retinal-pone.0115464.s009.ogv 9.1 s, 720 × 360; 377 KB
  
• A-Computational-Model-of-Afterimage-Rotation-in-the-Peripheral-Drift-Illusion-Based-on-Retinal-pone.0115464.s010.ogv 9.1 s, 720 × 360; 283 KB
  
• A-Computational-Model-of-Afterimage-Rotation-in-the-Peripheral-Drift-Illusion-Based-on-Retinal-pone.0115464.s011.ogv 9.1 s, 720 × 360; 318 KB
  
• A-Computational-Model-of-Afterimage-Rotation-in-the-Peripheral-Drift-Illusion-Based-on-Retinal-pone.0115464.s012.ogv 9.1 s, 720 × 360; 346 KB
  
• A-Computational-Model-of-Afterimage-Rotation-in-the-Peripheral-Drift-Illusion-Based-on-Retinal-pone.0115464.s013.ogv 9.1 s, 720 × 360; 390 KB
  
• A-Distinct-Layer-of-the-Medulla-Integrates-Sky-Compass-Signals-in-the-Brain-of-an-Insect-pone.0027855.s001.ogv 8.2 s, 624 × 960; 13.56 MB
  
• A-Distinct-Layer-of-the-Medulla-Integrates-Sky-Compass-Signals-in-the-Brain-of-an-Insect-pone.0027855.s002.ogv 6.7 s, 624 × 960; 9.15 MB
  
• A-Distinct-Layer-of-the-Medulla-Integrates-Sky-Compass-Signals-in-the-Brain-of-an-Insect-pone.0027855.s003.ogv 8.2 s, 624 × 960; 12.91 MB
  
• A-Distinct-Layer-of-the-Medulla-Integrates-Sky-Compass-Signals-in-the-Brain-of-an-Insect-pone.0027855.s004.ogv 6.7 s, 1,264 × 960; 5.43 MB
  
• A-Distinct-Layer-of-the-Medulla-Integrates-Sky-Compass-Signals-in-the-Brain-of-an-Insect-pone.0027855.s005.ogv 8.2 s, 1,264 × 960; 5.1 MB
  
• 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
  
• A-Novel-Robot-System-Integrating-Biological-and-Mechanical-Intelligence-Based-on-Dissociated-Neural-pone.0165600.s001.ogv 2 min 5 s, 856 × 480; 10.76 MB
  
• A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s007.ogv 30 s, 1,280 × 720; 11.61 MB
  
• A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s008.ogv 30 s, 1,280 × 720; 8.81 MB
  
• A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s009.ogv 30 s, 1,280 × 720; 8.85 MB
  
• 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
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s001.ogv 10 s, 300 × 230; 1,022 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s002.ogv 2.6 s, 300 × 286; 72 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s003.ogv 8.2 s, 280 × 300; 355 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s004.ogv 5.3 s, 280 × 300; 90 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s005.ogv 20 s, 150 × 82; 264 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s006.ogv 17 s, 242 × 300; 267 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s007.ogv 17 s, 522 × 150; 909 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s008.ogv 2.3 s, 380 × 294; 1.65 MB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s009.ogv 2.3 s, 300 × 160; 429 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s010.ogv 1.3 s, 300 × 134; 475 KB
  
• Actin-Independent-Behavior-and-Membrane-Deformation-Exhibited-by-the-Four-Transmembrane-Protein-M6a-pone.0026702.s011.ogv 13 s, 300 × 220; 314 KB
  
• Adaptive-Movement-Compensation-for-In-Vivo-Imaging-of-Fast-Cellular-Dynamics-within-a-Moving-Tissue-pone.0019928.s003.ogv 12 s, 263 × 435; 1.65 MB
  
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  AlexNet Original block diagram.svg 800 × 251; 247 KB
  
• Amplitude-of-the-SCN-Clock-Enhanced-by-the-Behavioral-Activity-Rhythm-pone.0039693.s003.ogv 1 min 1 s, 640 × 480; 1.29 MB
  
• Amplitude-of-the-SCN-Clock-Enhanced-by-the-Behavioral-Activity-Rhythm-pone.0039693.s004.ogv 59 s, 640 × 480; 1.21 MB
  
• Anatomical-Connectivity-Influences-both-Intra--and-Inter-Brain-Synchronizations-pone.0036414.s004.ogv 50 s, 570 × 440; 13 MB
  
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  Ann Recurrente.jpg 2,448 × 3,264; 284 KB
  
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  Attention Is All You Need - another encoder self-attention at layer 5 of 6.png 1,196 × 662; 269 KB
  
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  Attention Is All You Need - Attention Head.png 445 × 884; 26 KB
  
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  Attention Is All You Need - Encoder-decoder Architecture.png 1,520 × 2,239; 155 KB
  
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  Attention Is All You Need - Full attentions for head 5.png 1,196 × 644; 231 KB
  
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  Attention Is All You Need - Isolated attentions from just the word ‘its’ for attention heads 5 and 6.png 1,196 × 737; 162 KB
  
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  Attention Is All You Need - long-distance attention, encoder self-attention in layer 5 of 6.png 1,196 × 609; 223 KB
  
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  Attention Is All You Need - Multiheaded Attention.png 835 × 1,282; 64 KB
  
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  Attention Is All You Need - one encoder self-attention at layer 5 of 6.png 1,196 × 648; 154 KB
  
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  Attention mechanism output.svg 465 × 241; 68 KB
  
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  Attention mechanism overview.svg 251 × 187; 28 KB
  
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  Attention-qkv.png 2,634 × 1,145; 234 KB
  
• Automated-and-Accurate-Detection-of-Soma-Location-and-Surface-Morphology-in-Large-Scale-3D-Neuron-pone.0062579.s003.ogv 29 s, 1,024 × 576; 8.89 MB
  
• Automated-and-Accurate-Detection-of-Soma-Location-and-Surface-Morphology-in-Large-Scale-3D-Neuron-pone.0062579.s004.ogv 29 s, 1,280 × 720; 15.73 MB
  
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  BERT embedding sequences.svg 605 × 195; 89 KB
  
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  BERT embeddings 01.png 1,426 × 532; 36 KB
  
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  BERT encoder-only attention.svg 532 × 252; 62 KB
  
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  BERT input embeddings.png 1,338 × 344; 13 KB
  
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  BERT masked language modelling task.png 1,426 × 708; 40 KB
  
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  BERT next sequence prediction task.png 1,426 × 738; 34 KB
  
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  BERT on multiple-choice question-answering.svg 481 × 267; 76 KB
  
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  BERT on sentence classification.svg 481 × 267; 53 KB
  
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  BERT on sentiment classification.svg 267 × 193; 27 KB
  
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  BERT on tagging.svg 497 × 267; 81 KB
  
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  BERT on two sequences.svg 481 × 267; 50 KB
  
• Beta-but-Not-Gamma-Band-Oscillations-Index-Visual-Form-Motion-Integration-pone.0095541.s001.ogv 1.3 s, 160 × 120; 11 KB
  
• Beta-but-Not-Gamma-Band-Oscillations-Index-Visual-Form-Motion-Integration-pone.0095541.s002.ogv 1.6 s, 160 × 120; 8 KB
  
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  Bidirectional RNN.png 1,426 × 700; 37 KB
  
• Biological-Motion-Coding-in-the-Brain-Analysis-of-Visually-Driven-EEG-Functional-Networks-pone.0084612.s004.ogv 2.5 s, 482 × 354; 43 KB
  
• Biological-Motion-Coding-in-the-Brain-Analysis-of-Visually-Driven-EEG-Functional-Networks-pone.0084612.s005.ogv 1.8 s, 570 × 398; 35 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
  
• 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
  
• 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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  Competitive network.svg 436 × 398; 15 KB
  
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  Connectome extraction procedure.jpg 3,652 × 3,127; 1.11 MB
  
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  Continuous Bag of Words model (CBOW).svg 237 × 156; 21 KB
  
• 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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  Contrastive Language-Image Pretraining.png 2,162 × 762; 247 KB
  
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  Convolutional neural network, boundary conditions.png 1,426 × 475; 47 KB
  
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  Convolutional neural network, convolution worked example.png 1,426 × 1,000; 254 KB
  
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  Convolutional neural network, maxpooling.png 1,426 × 551; 42 KB
  
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  Cortical Columns.jpg 2,304 × 1,800; 1.85 MB
  
• Cortical-Neurovascular-Coupling-Driven-by-Stimulation-of-Channelrhodopsin-2-pone.0046607.s001.ogv 35 s, 500 × 670; 5.11 MB
  
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  Decaying Sine Unit (DSU).png 3,000 × 2,000; 420 KB
  
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  Decoder RNN.png 1,426 × 613; 22 KB
  
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  Decoder self-attention with causal masking, detailed diagram.png 1,426 × 1,000; 40 KB
  
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  Deep RNN architecture.svg 267 × 301; 39 KB
  
• Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s019.ogv 2.7 s, 880 × 880; 895 KB
  
• Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s020.ogv 2.7 s, 900 × 900; 1.87 MB
  
• 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
  
• 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
  
• 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
  
• 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
  
• 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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• Dendritic-Slow-Dynamics-Enables-Localized-Cortical-Activity-to-Switch-between-Mobile-and-Immobile-pone.0024007.s005.ogv 30 s, 480 × 480; 1.61 MB
  
• Dendritic-Slow-Dynamics-Enables-Localized-Cortical-Activity-to-Switch-between-Mobile-and-Immobile-pone.0024007.s006.ogv 40 s, 480 × 480; 2.54 MB
  
• Dendritic-Slow-Dynamics-Enables-Localized-Cortical-Activity-to-Switch-between-Mobile-and-Immobile-pone.0024007.s007.ogv 40 s, 480 × 480; 2.69 MB
  
• Developmental-Self-Construction-and--Configuration-of-Functional-Neocortical-Neuronal-Networks-pcbi.1003994.s004.ogv 51 s, 768 × 576; 5.71 MB
  
• Developmental-Self-Construction-and--Configuration-of-Functional-Neocortical-Neuronal-Networks-pcbi.1003994.s005.ogv 21 s, 1,280 × 720; 4.64 MB
  
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  Diagram of the Microanatomy of Human Cerebellar Cortex-es.svg 512 × 497; 18 KB
  
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  Diagram of the Microanatomy of Human Cerebellar Cortex.svg 512 × 497; 18 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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  DiagramTDNN.png 956 × 2,383; 88 KB
  
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  Dictionnaire Sparse Coding.png 2,400 × 1,800; 248 KB
  
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  Discriminative vs Generative Neural Networks (large).png 2,215 × 2,584; 3.27 MB
  
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  Discriminative vs Generative Neural Networks.png 1,071 × 1,250; 1.63 MB
  
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  Domino Analogy.jpg 2,479 × 1,379; 3.69 MB
  
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  Dropout mechanism.png 1,426 × 585; 61 KB
  
• Dynamic-Excitatory-and-Inhibitory-Gain-Modulation-Can-Produce-Flexible-Robust-and-Optimal-Decision-pcbi.1003099.s007.ogv 5.0 s, 560 × 420; 108 KB
  
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  DZOpQ44X4AM8m t.jpg 2,048 × 1,152; 167 KB
  
• Electrical-Responses-and-Spontaneous-Activity-of-Human-iPS-Derived-Neuronal-Networks-Characterized-Video1.ogv 28 s, 1,440 × 1,080; 5.79 MB
  
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  Elementary perceptron.jpg 2,126 × 1,024; 181 KB
  
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  ELMo embedding.png 1,426 × 260; 19 KB
  
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  ELMo LSTM.png 1,426 × 745; 56 KB
  
• Emergence-of-Assortative-Mixing-between-Clusters-of-Cultured-Neurons-pcbi.1003796.s007.ogv 20 s, 342 × 312; 16.33 MB
  
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  Encoder cross-attention, computing the context vector by a linear sum.png 1,426 × 520; 16 KB
  
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  Encoder cross-attention, multiheaded version.png 1,426 × 1,150; 64 KB
  
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  Encoder self-attention, block diagram.png 1,426 × 520; 19 KB
  
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  Encoder self-attention, detailed diagram.png 1,426 × 958; 39 KB
  
• Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s001.ogv 35 s, 1,140 × 1,230; 1.57 MB
  
• Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s002.ogv 32 s, 1,140 × 1,230; 1.34 MB
  
• Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s003.ogv 29 s, 1,140 × 1,230; 1 MB
  
• Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s004.ogv 14 s, 1,140 × 1,230; 592 KB
  
• Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s005.ogv 42 s, 1,140 × 1,230; 1.22 MB
  
• Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s006.ogv 27 s, 1,140 × 1,230; 871 KB
  
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  Esquema RedeNeuralConvolucional.svg 589 × 172; 18 KB
  
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  Evil Shōki NN.svg 4,260 × 2,472; 3.16 MB
  
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  Example of a deep neural network.png 1,114 × 624; 178 KB
  
• Exploring-the-Morphospace-of-Communication-Efficiency-in-Complex-Networks-pone.0058070.s007.ogv 41 s, 1,600 × 1,200; 6.15 MB
  
• 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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  Fitting a straight line to a data with outliers.png 1,011 × 610; 48 KB
  
• 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 pages; 2.64 MB
  
• 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.gif 545 × 410; 2.41 MB
  
• 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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  Gated Recurrent Unit 2.svg 552 × 283; 171 KB
  
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  Gated Recurrent Unit 3.svg 552 × 277; 186 KB
  
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  Generative adversarial network.svg 176 × 205; 32 KB
  
• Gia Dvali.webm 12 min 27 s, 640 × 360; 33.52 MB
  
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  Global Brain - neural company (neuro-bionics).png 996 × 1,130; 374 KB
  
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  Global Brain - supranational communication patterns.gif 400 × 300; 29 KB
  
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  Global Brain - task-specific communication patterns in a neural company.gif 460 × 559; 209 KB
  
• Glutamatergic-Neurotransmission-from-Melanopsin-Retinal-Ganglion-Cells-Is-Required-for-Neonatal-pone.0083974.s001.ogv 3 min 0 s, 640 × 480; 4.08 MB
  
• Glutamatergic-Neurotransmission-from-Melanopsin-Retinal-Ganglion-Cells-Is-Required-for-Neonatal-pone.0083974.s002.ogv 3 min 0 s, 640 × 480; 3.98 MB
  
• Glutamatergic-Neurotransmission-from-Melanopsin-Retinal-Ganglion-Cells-Is-Required-for-Neonatal-pone.0083974.s003.ogv 3 min 1 s, 720 × 480; 10.32 MB
  
• Glutamatergic-Neurotransmission-from-Melanopsin-Retinal-Ganglion-Cells-Is-Required-for-Neonatal-pone.0083974.s004.ogv 3 min 1 s, 720 × 480; 9.35 MB
  
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  GoogLeNet architecture (rotated).svg 427 × 145; 80 KB
  
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  GoogLeNet architecture.svg 148 × 439; 67 KB
  
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  Growing Cosine Unit (GCU) activation function.png 3,000 × 2,186; 273 KB
  
• Growth-Dynamics-Explain-the-Development-of-Spatiotemporal-Burst-Activity-of-Young-Cultured-Neuronal-pone.0043352.s003.ogv 35 s, 696 × 600; 13.49 MB
  
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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
  
• Hippocampal-Representation-of-Touch-Guided-Behavior-in-Rats-Persistent-and-Independent-Traces-of-pone.0016462.s002.ogv 10 s, 512 × 512; 638 KB
  
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  Hypothesized Propagation of Activity in Human Neocortex.jpeg 611 × 538; 26 KB
  
• Imaging-activity-in-astrocytes-and-neurons-with-genetically-encoded-calcium-indicators-following-in-Video1.ogv 12 s, 359 × 310; 727 KB
  
• Imaging-activity-in-astrocytes-and-neurons-with-genetically-encoded-calcium-indicators-following-in-Video2.ogv 13 s, 294 × 294; 331 KB
  
• Imaging-activity-in-astrocytes-and-neurons-with-genetically-encoded-calcium-indicators-following-in-Video3.ogv 9.1 s, 300 × 300; 371 KB
  
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• In-Vivo-Transplantation-of-Enteric-Neural-Crest-Cells-into-Mouse-Gut-Engraftment-Functional-pone.0147989.s004.ogv 5.0 s, 1,980 × 560; 6.66 MB
  
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