Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches

Mathematics

• Hardware 100%
• Architecture 90%
• Machine Learning 89%
• Signal Processing 87%
• Neuron 84%
• Review 59%
• Design 50%
• Learning Systems 41%
• Energy Consumption 41%
• Unsupervised Learning 41%
• Reinforcement Learning 40%
• Supervised Learning 39%
• Supercomputer 38%
• Spike 31%
• Brain 29%
• Human 24%
• Computing 17%
• Performance 16%
• Model 8%

Engineering & Materials Science

• Neurons 75%
• Signal processing 66%
• Machine learning 60%
• Computer hardware 48%
• Unsupervised learning 31%
• Supercomputers 30%
• Supervised learning 28%
• Learning systems 27%
• Reinforcement learning 27%
• Brain 22%
• Energy utilization 19%