Convolutional networks outperform linear decoders in predicting EMG from spinal cord signals

Keyphrases

• Spinal Cord 100%
• Convolutional Networks 100%
• Convolutional Neural Network 100%
• Electromyography 100%
• Linear Encoder 100%
• Neural Signals 66%
• Electromyography Signal 66%
• Forelimb 66%
• Low Power 33%
• Firmware 33%
• Time Application 33%
• Similar Problem 33%
• Behavioral Data 33%
• Corticospinal Tract 33%
• Convolutional Neural Network Model 33%
• Function Layer 33%
• Short-term Dynamics 33%
• Coefficient of Determination 33%
• R2 Value 33%
• Complex Relations 33%
• Model Response 33%
• Multi-unit 33%
• Neural Data 33%
• Analytical Function 33%
• Neuromuscular System 33%
• Gamma Function 33%
• Rectified Linear Unit (ReLU) 33%
• Neuronal Processing 33%
• Multiple Electrode Array 33%
• Between-session 33%
• Skilled Forelimb Movements 33%
• Neural Network Solution 33%
• Advanced Algorithms 33%

Neuroscience

• Neural Network 100%
• Electromyography 100%
• Spinal Cord 100%
• Behavior (Neuroscience) 25%
• Neuromuscular System 25%
• Signal Processing 25%
• Corticospinal Tract 25%