Engineering & Materials Science
Neural networks
100%
Neurons
95%
Brain
80%
Decoding
56%
Plasticity
52%
Factorization
41%
Convolutional neural networks
41%
Deep learning
37%
Networks (circuits)
35%
Deep neural networks
32%
Modulation
26%
Semantics
25%
Dendrites (metallography)
24%
Wavelet analysis
22%
Adaptive boosting
22%
Feature extraction
21%
Magnetic Resonance Imaging
21%
Image classification
20%
Supervised learning
19%
Distillation
19%
Feedback
19%
Identification (control systems)
18%
Calcium
17%
Labels
16%
Machine learning
12%
Defects
12%
Data Science
12%
Imaging techniques
12%
Electric power utilization
11%
Inspection
9%
Experiments
9%
Image segmentation
8%
Screening
8%
Fibers
8%
Time series
8%
Throughput
7%
Intelligent agents
7%
Network layers
6%
Reinforcement learning
6%
Redundancy
6%
Electroencephalography
6%
Computer hardware
5%
Biomarkers
5%
Neurology
5%
Computer vision
5%
Medical problems
5%
Medicine & Life Sciences
Neurons
69%
Ganglia
35%
Purkinje Cells
30%
Alpha Rhythm
27%
Learning
25%
Photons
25%
Visual Cortex
23%
Auditory Cortex
22%
Retinal Ganglion Cells
21%
Macaca
21%
Attention Deficit Disorder with Hyperactivity
19%
N-Methyl-D-Aspartate Receptors
19%
Cell Communication
17%
Psychology Recognition
16%
Retina
16%
Deep Learning
15%
Datasets
14%
Brain
14%
Urodela
13%
Calcium
12%
Depression
12%
Electroencephalography
12%
Dendrites
11%
Psychological Power
8%
Haplorhini
8%
Population
7%
Cognition
7%
Eye
5%
Sensory Receptor Cells
5%
Synapses
5%
Electrophysiology
5%
Retinal Neurons
5%
Control Groups
5%
Occipital Lobe
5%
Mathematics
Cell
48%
Spiking Neural Networks
33%
Neuron
29%
Spike
27%
Feedforward
26%
Pathway
25%
Receptor
24%
Modulation
23%
Cascade
20%
Non-negative Matrix Factorization
20%
Receptive Field
19%
Encoding
18%
Oscillation
14%
Interaction
13%
Dendrite
12%
Retina
9%
Vision
9%
Dissect
8%
Branch
8%
Model
7%
Standard Model
7%
Synapse
6%
Light Intensity
5%
Plasticity
5%
Prediction
5%
