Determining the optimal number of MEG trials: A machine learning and speech decoding perspective

Mathematics

• Speech 87%
• Decoding 72%
• Machine Learning 72%
• Signal-to-noise Ratio 33%
• Brain-computer Interface 24%
• Wavelets 23%
• Neuroimaging 18%
• Denoising 17%
• Artificial Neural Network 16%
• Learning Algorithm 15%
• Communication 12%
• Filter 11%
• Background 11%
• Limiting 10%
• Knowledge 10%
• Performance 7%

Engineering & Materials Science

• Magnetoencephalography 100%
• Decoding 56%
• Machine learning 48%
• Signal to noise ratio 21%
• Neuroimaging 17%
• Speech communication 16%
• Brain computer interface 15%
• Learning algorithms 10%
• Neural networks 8%