research
∙
07/24/2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
The training of multilayer spiking neural networks (SNNs) using the erro...
share
research
∙
01/23/2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Reservoir computing (RC) can efficiently process time-series data by tra...
research
∙
11/29/2022
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
We propose a novel backpropagation algorithm for training spiking neural...
research
∙
06/18/2021
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks
The spiking neural network (SNN) has been attracting considerable attent...
research
∙
06/11/2020
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Reservoir computing (RC) is a machine learning algorithm that can learn ...
research
∙
01/08/2020
