7 papers
Hebbian Physics Networks: A Self-Organizing Computational Architecture Based on Local Physical Laws
Gunjan Auti, Hirofumi Daiguji, Gouhei Tanaka
Physical transport processes organize through local interactions that redistribute imbalance while preserving conservation. Classical solvers enforce this organization by applying…
Online Adaptive Reinforcement Learning with Echo State Networks for Non-Stationary Dynamics
Aoi Yoshimura, Gouhei Tanaka
Reinforcement learning (RL) policies trained in simulation often suffer from severe performance degradation when deployed in real-world environments due to non-stationary dynamics.…
Misophonia Trigger Sound Detection on Synthetic Soundscapes Using a Hybrid Model with a Frozen Pre-Trained CNN and a Time-Series Module
Kurumi Sashida, Gouhei Tanaka
Misophonia is a disorder characterized by a decreased tolerance to specific everyday sounds (trigger sounds) that can evoke intense negative emotional responses such as anger, pani…
Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
Daisuke Inoue, Tadayoshi Matsumori, Gouhei Tanaka +1
Neural networks have found extensive application in data-driven control of nonlinear dynamical systems, yet fast online identification and control of unknown dynamics remain centra…
Hand Gesture Recognition from Doppler Radar Signals Using Echo State Networks
Towa Sano, Gouhei Tanaka
Hand gesture recognition (HGR) is a fundamental technology in human computer interaction (HCI).In particular, HGR based on Doppler radar signals is suited for in-vehicle interfaces…
Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing
Yuito Ito, Tomoaki Niiyama, Tetsuya Asai +3
The detection of ultrafast optical and radio-frequency (RF) signals is crucial for applications ranging from high-speed communications to advanced sensing. However, conventional de…