Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization

Keyphrases

• Spiking Neural Networks 100%
• Network Optimization 100%
• Handwritten Digits 100%
• Learning-based Optimization 100%
• Postsynaptic Density Protein 95 (PSD-95) 40%
• Classification Accuracy 40%
• Neuronal Dynamics 20%
• Energy Conservation 20%
• Time Information 20%
• Real-world Application 20%
• Artificial Neural Network 20%
• Numerical Experiments 20%
• Supervised Learning 20%
• Backpropagation 20%
• Network Configuration 20%
• Learning Parameters 20%
• Handwritten Digit Recognition 20%
• MNIST 20%
• Neuromorphic System 20%
• Floating-point 20%
• Normalized Approximate Descent 20%
• Parameter Configuration 20%
• Reduced Precision 20%
• Spike Rate 20%
• Non-spiking 20%
• Spike-based 20%
• Memory-constrained 20%
• Constrained Hardware 20%
• 3-bits 20%
• Dynamic Accuracy 20%
• Precise Spike Timing 20%
• Learning Networks 20%
• Information Learning 20%
• Descent Algorithm 20%
• Information Encoding 20%
• Low Bit Precision 20%

Computer Science

• Neural Network 100%
• Network Optimization 100%
• handwritten digit 100%
• Classification Accuracy 40%
• Synaptic Weight 40%
• Approximation (Algorithm) 20%
• Timing Information 20%
• Artificial Neural Network 20%
• Learning Network 20%
• World Application 20%
• Supervised Learning 20%
• Backpropagation 20%
• Floating Point 20%
• Learning Parameter 20%
• handwritten digit recognition 20%
• Network Configuration 20%