1 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems
Teppei Otsuka, Aohan Li, Hiroki Takesue +3
Non-orthogonal multiple access (NOMA) technique is important for achieving a high data rate in next-generation wireless communications. A key challenge to fully utilizing the effec…
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara
We propose a novel backpropagation algorithm for training spiking neural networks (SNNs) that encodes information in the relative multiple spike timing of individual neurons withou…
Experimental observation of chimera states in spiking neural networks based on degenerate optical parametric oscillators
Tumi Makinwa, Kensuke Inaba, Takahiro Inagaki +9
We experimentally demonstrate that networks of identical photonic spiking neurons based on coupled degenerate parametric oscillators can show various chimera states, in which, depe…
Entropic Herding
Hiroshi Yamashita, Hideyuki Suzuki, Kazuyuki Aihara
Herding is a deterministic algorithm used to generate data points that can be regarded as random samples satisfying input moment conditions. The algorithm is based on the complex b…