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Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
The training of multilayer spiking neural networks (SNNs) using the error backpropagation algorithm has made significant progress in recent years.
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks
As SNNs are continuous-state and continuous-time models, it is favorable to implement them with analog VLSI circuits.
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