2 papers
cs.NE2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
Yusuke Sakemi, Kakei Yamamoto, Takeo Hosomi +1
The training of multilayer spiking neural networks (SNNs) using the error backpropagation algorithm has made significant progress in recent years. Among the various training scheme…
cs.LG2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki +2
Reservoir computing (RC) can efficiently process time-series data by transferring the input signal to randomly connected recurrent neural networks (RNNs), which are referred to as…