Situational Awareness Classification Based on EEG Signals and Spiking Neural Network

Keyphrases

• Classification Basis 100%
• Electroencephalogram 100%
• Spiking Neural Networks 100%
• Situational Awareness 100%
• Continuous-time 40%
• Awareness Detection 30%
• Mental States 20%
• Feature Extraction 20%
• High Correlation 10%
• Neural Network 10%
• Effective Tool 10%
• Challenging Tasks 10%
• Machine Learning Techniques 10%
• Publicly Available 10%
• Machine Learning Approach 10%
• Resonator 10%
• Sequence Order 10%
• Biologically Inspired 10%
• Measurement Interpretation 10%
• Neural Network Classifier 10%
• Spatial Representation 10%
• Frequency Component 10%
• Adept 10%
• Electroencephalogram Data 10%
• Time-frequency Analysis 10%
• Feature Mapping 10%
• Frequency Features 10%
• Mental State Classification 10%
• Serial Sequence 10%

Computer Science

• Neural Network 100%
• Situational Awareness 100%
• Continuous Time 28%
• Feature Extraction 14%
• Frequency Domain 7%
• Machine Learning 7%
• Learning System 7%
• Experimental Result 7%
• Neural Network Architecture 7%
• Neural Network Model 7%
• Average Accuracy 7%
• Spatial Representation 7%
• Machine Learning-Based Approach 7%
• Frequency Feature 7%
• Analysis Technique 7%
• High Correlation 7%
• Feature Mapping 7%

Neuroscience

• Electroencephalogram 100%
• Neural Network 7%