A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Implications in Working Memory. - Jun-nosuke Teramae; Tomoki Fukai (J. Comput. Neurosci., 2005)

Local cortical circuit model inferred from power-law distributed neuronal avalanches. - Jun-nosuke Teramae; Tomoki Fukai (J. Comput. Neurosci., 2007)

Complex evolution of spike patterns during burst propagation through feed-forward networks. - Jun-nosuke Teramae; Tomoki Fukai (Biol. Cybern., 2008)

Associative memory model with long-tail-distributed Hebbian synaptic connections. - Naoki Hiratani; Jun-nosuke Teramae; Tomoki Fukai (Frontiers Comput. Neurosci., 2012)

On Neuro-inspired Wireless Sensor Networks. - Ferdinand Peper; Naoki Wakamiya; Akifumi Kasamatsu; Shukichi Tanaka; Kenji Leibnitz; Jun-nosuke Teramae; Katsuyuki Kasai; Akira Otomo (UIC/ATC, 2013)

Distributed Routing Protocol Based on Biologically-Inspired Attractor Selection with Active Stochastic Exploration and a Short-Term Memory. - Tomohiro Nakao; Jun-nosuke Teramae; Naoki Wakamiya (UIC/ATC/ScalCom, 2014)

Lessons From Spontaneous Neural Noise Genesis on Neuromorphic Engineering [Further Thoughts]. - Tomoki Fukai; Jun-nosuke Teramae (Proc. IEEE, 2014)

Computational Implications of Lognormally Distributed Synaptic Weights. - Jun-nosuke Teramae; Tomoki Fukai (Proc. IEEE, 2014)

Brain-Inspired Communication Technologies: Information Networks with Continuing Internal Dynamics and Fluctuation. - Jun-nosuke Teramae; Naoki Wakamiya (IEICE Trans. Commun., 2015)

Inferred Duality of Synaptic Connectivity in Local Cortical Circuit with Receptive Field Correlation. - Kohei Watanabe; Jun-nosuke Teramae; Naoki Wakamiya (ICONIP (1), 2016)

Localization and area localization in impulse-radio wireless sensor networks. - Haruka Kubota; Jun-nosuke Teramae; Naoki Wakamiya (IEEE SENSORS, 2016)

Effective Suppression of Pathological Synchronization in Cortical Networks by Highly Heterogeneous Distribution of Inhibitory Connections. - Hisashi Kada; Jun-nosuke Teramae; Isao T. Tokuda (Frontiers Comput. Neurosci., 2016)

An Adaptive Routing Protocol with Balanced Stochastic Route Exploration and Stabilization Based on Short-Term Memory. - Tomohiro Nakao; Jun-nosuke Teramae; Naoki Wakamiya (IEICE Trans. Commun., 2016)

Low-Complexity Nanosensor Networking Through Spike-Encoded Signaling. - Ferdinand Peper; Kenji Leibnitz; Jun-nosuke Teramae; Tetsuya Shimokawa; Naoki Wakamiya (IEEE Internet Things J., 2016)

Biologically-inspired adaptive routing protocol with stochastic route exploration. - Tomohiro Nakao; Jun-nosuke Teramae; Naoki Wakamiya (EAI Endorsed Trans. Mob. Commun. Appl., 2016)

An efficient sleep/wake-up protocol for localization in impulse wireless sensor networks. - Haruka Kubota; Jun-nosuke Teramae; Naoki Wakamiya (APCC, 2017)

Macroscopic neural mass model constructed from a current-based network model of spiking neurons. - Hiroaki Umehara; Masato Okada; Jun-nosuke Teramae; Yasushi Naruse (Biol. Cybern., 2017)

Highly Heterogeneous Excitatory Connections Require Less Amount of Noise to Sustain Firing Activities in Cortical Networks. - Hisashi Kada; Jun-nosuke Teramae; Isao T. Tokuda (Frontiers Comput. Neurosci., 2018)

On High-Density Resource-Restricted Pulse-Based IoT Networks. - Ferdinand Peper; Kenji Leibnitz; Konstantinos Theofilis; Mikio Hasegawa; Naoki Wakamiya; Chiemi Tanaka; Jun-nosuke Teramae; Shinya Sekizawa; Aohan Li (GLOBECOM, 2020)

Smoothed Robustness Analysis: Bridging worst- and average-case robustness analyses via smoothed analysis. - Thomas Rodrigues Crespo; Jun-nosuke Teramae (Trans. Mach. Learn. Res., 2024)