NormAD - Normalized Approximate Descent based supervised learning rule for spiking neurons

Keyphrases

• Spiking Neurons 100%
• NormAD 100%
• Supervised Learning Rule 100%
• Normalized Approximate Descent 100%
• Postsynaptic Density Protein 95 (PSD-95) 50%
• Supervised Learning Algorithms 50%
• Leaky Integration 50%
• Optimization Problem 25%
• Convergence Rate 25%
• Cost Function 25%
• Spike Trains 25%
• Supervised Learning 25%
• Membrane Potential 25%
• Time of Arrival 25%
• Temporal Filtering 25%
• Fast Convergence 25%
• Weight Change 25%
• Update Rule 25%
• Universal Applicability 25%
• Learning Rule 25%
• Stochastic Gradient Descent 25%
• Adaptive Exponential Integrate-and-fire Model 25%
• Weight Update 25%
• Leaky Integrate-and-fire Neuron 25%

Computer Science

• Supervised Learning 100%
• Learning Algorithm 50%
• Synaptic Weight 50%
• Optimization Problem 25%
• Good Performance 25%
• Fast Convergence 25%
• Temporal Filter 25%
• Universal Applicability 25%
• Gradient Descent 25%