Autonomous integrate-and-fire model with vibration. - Hidehiro Nakano; Toshimichi Saito (IJCNN, 1999)

Various impulsive synchronous patterns from mutually coupled ISC chaotic oscillators. - Hidehiro Nakano; Toshimichi Saito; Kunihiko Mitsubori (ISCAS (5), 1999)

Basic dynamics from a pulse-coupled network of autonomous integrate-and-fire chaotic circuits. - Hidehiro Nakano; Toshimichi Saito (IEEE Trans. Neural Networks, 2002)

A simple nonautonomous chaotic circuit with a periodic pulse-train input. - Hidehiro Nakano; Keita Miyachi; Toshimichi Saito (ISCAS (3), 2003)

A hyperchaotic circuit family including a dependent switched capacitor. - Yusuke Takahashi; Hidehiro Nakano; Toshimichi Saito (ISCAS (3), 2003)

Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks. - Hidehiro Nakano; Toshimichi Saito (ICONIP, 2004)

A simple hyperchaos generator based on impulsive switching. - Yusuke Takahashi; Hidehiro Nakano; Toshimichi Saito (IEEE Trans. Circuits Syst. II Express Briefs, 2004)

Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators. - Hidehiro Nakano; Toshimichi Saito (IEEE Trans. Neural Networks, 2004)

Analysis for Characteristics of GA-Based Learning Method of Binary Neural Networks. - Tatsuya Hirane; Tetsuya Toryu; Hidehiro Nakano; Arata Miyauchi (ICANN (1), 2005)

A Simple Nonautonomous Chaotic Spiking Circuit with a Refractory Threshold. - Yoshifumi Kobayashi; Hidehiro Nakano; Toshimichi Saito (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Hyperchaotic spiking oscillators with periodic pulse-train input. - Yusuke Takahashi; Hidehiro Nakano; Toshimichi Saito (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

Parallel Distributed Profit Sharing for PC Cluster. - Takuya Fujishiro; Hidehiro Nakano; Arata Miyauchi (ICANN (1), 2006)

A reinforcement learning method using a dynamic reinforcement function based on action selection probability. - Yugo Hasegawa; Satoko Takada; Hidehiro Nakano; Shuichi Arai; Arata Miyauchi (Syst. Comput. Jpn., 2007)

Synchronization-based data gathering scheme using chaotic pulse-coupled neural networks in wireless sensor networks. - Hidehiro Nakano; Akihide Utani; Arata Miyauchi; Hisao Yamamoto (IJCNN, 2008)

Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks. - Hidehiro Nakano; Akihide Utani; Arata Miyauchi; Hisao Yamamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

A competitive PSO based on evaluation with priority for finding plural solutions. - Yu Taguchi; Yuta Kanamori; Hidehiro Nakano; Akihide Utani; Arata Miyauchi; Hisao Yamamoto (IEEE Congress on Evolutionary Computation, 2010)

A learning method for dynamic Bayesian network structures using a multi-objective particle swarm optimizer. - Kousuke Shibata; Hidehiro Nakano; Arata Miyauchi (Artif. Life Robotics, 2011)

A Data Gathering Scheme in Wireless Sensor Networks Using a Spiking Neural Network with Simple Local Information. - Ikki Fujita; Hidehiro Nakano; Arata Miyauchi (ICONIP (4), 2012)

An Artificial Bee Colony algorithm for solving dynamic optimization problems. - Masataka Kojima; Hidehiro Nakano; Arata Miyauchi (IEEE Congress on Evolutionary Computation, 2013)

Solving performances of PSO networks with temporal couplings. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (SMC, 2014)

An artificial bee colony algorithm with a memory scheme for Dynamic Optimization Problems. - Hidehiro Nakano; Masataka Kojima; Arata Miyauchi (CEC, 2015)

Improvement of the Solving Performance by the Networking of Particle Swarm Optimization. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Solving Performances of Piecewise-Linear Particle Swarm Optimizer with Chaotic Dynamics. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (SCIS&ISIS, 2016)

Analysis for basic dynamics and performances of piecewise particle swarm optimizers. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (SMC, 2016)

Investigation of particles behaviors of piecewise-linear particle swarm optimizer. - Tomoyuki Sasaki; Hidehiro Nakano (SSCI, 2017)

Particle Swarm Optimizer Networks with Stochastic Connection for Improvement of Diversity Search Ability to Solve Multimodal Optimization Problems. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Deterministic Particle Swarm Optimizer with the Convergence and Divergence Dynamics. - Tomoyuki Sasaki; Hidehiro Nakano; Arata Miyauchi; Akira Taguchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Analysis of Reference Frame Invariance for Piecewise-Linear Particle Swarm Optimizer. - Tomoyuki Sasaki; Hidehiro Nakano (SMC, 2018)

Search Property of Nonlinear Map Optimization. - Kenya Jin'no; Tomoyuki Sasaki; Hidehiro Nakano (CEC, 2019)

CycleGAN using Semi-Supervised Learning. - Masashi Okada; Hidehiro Nakano; Arata Miyauchi (Aust. J. Intell. Inf. Process. Syst., 2019)

Analysis and Investigation of Frame Invariance and Particle Behavior for Piecewise-Linear Particle Swarm Optimizer. - Tomoyuki Sasaki; Hidehiro Nakano (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

An Optimizer based on Spiking Neural-oscillator Networks. - Tomoyuki Sasaki; Hidehiro Nakano (SMC, 2021)

Analysis for optimizer based on spiking-neural oscillator networks with a simple network topology. - Tomoyuki Sasaki; Hidehiro Nakano (ISCAS, 2024)