J. Teramae

发表

Robustness of the noise-induced phase synchronization in a general class of limit cycle oscillators.

J. Teramae, Dan Tanaka, 2004, Physical review letters.

Strong desynchronizing effects of weak noise in globally coupled systems.

Y. Kuramoto, J. Teramae, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

Long-tailed distribution of synaptic strength reveals origin and functional roles of ongoing fluctuation in cortical circuit

J. Teramae, 2016 .

Stochastic phase reduction for a general class of noisy limit cycle oscillators.

G Bard Ermentrout, Hiroya Nakao, Jun-Nosuke Teramae, 2009, Physical review letters.

Synchronization of excitatory neurons with strongly heterogeneous phase response

T. Fukai, Y. Tsubo, J. Teramae, 2007, Neuroscience Research.

of Statistics and Its Application Computational Neuroscience : Mathematical and Statistical Perspectives

Emery N. Brown, Sonja Grün, Tomoki Fukai, 2018 .

Robustness of the noise-induced phase synchronization in a general class of limit cycle oscillators.

J. Teramae, Dan Tanaka, Jun-nosuke Teramae, 2004, Physical review letters.

Dual sampling neural network: Learning without explicit optimization

Y. Tsubo, J. Teramae, 2022, Physical Review Research.

On High-Density Resource-Restricted Pulse-Based IoT Networks

K. Leibnitz, F. Peper, N. Wakamiya, 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

Cortical Networks with Lognormal Synaptic Connectivity and Their Implications in Neuronal Avalanches

T. Fukai, J. Teramae, V. Klinshov, 2014 .

Dense Neuron Clustering Explains Connectivity Statistics in Cortical Microcircuits

Tomoki Fukai, Jun-nosuke Teramae, Vladimir I. Nekorkin, 2014, PloS one.

Dual stochasticity of the cortex as a most efficient and biologically plausible learning algorithm

Jun-nosuke Teramae, J. Teramae, 2019, bioRxiv.

Dual stochasticity of the cortex as a most efficient and biologically plausible learning algorithm

Jun-nosuke Teramae, J. Teramae, Jun-nosuke Teramae, 2019, bioRxiv.

Dual stochasticity in the cortex as a biologically plausible learning with the most efficient coding

Jun-nosuke Teramae, J. Teramae, 2019 .

Computational Implications of Lognormally Distributed Synaptic Weights

Tomoki Fukai, Jun-nosuke Teramae, T. Fukai, 2014, Proceedings of the IEEE.

Effective long-time phase dynamics of limit-cycle oscillators driven by weak colored noise.

Jun-nosuke Teramae, Yoshiki Kuramoto, Hiroya Nakao, 2010, Chaos.

Comment on "Phase Reduction of Stochastic Limit Cycle Oscillators"

G. Ermentrout, J. Teramae, H. Nakao, 2008, 0812.3205.

System-Size Effects on the Collective Dynamics of Cell Populations with Global Coupling

J. Teramae, 2002, nlin/0210048.

A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Implications in Working Memory

Tomoki Fukai, Jun-nosuke Teramae, T. Fukai, 2005, Journal of Computational Neuroscience.

Highly Heterogeneous Excitatory Connections Require Less Amount of Noise to Sustain Firing Activities in Cortical Networks

Jun-nosuke Teramae, Isao T. Tokuda, Hisashi Kada, 2018, Front. Comput. Neurosci..

Computational Neuroscience: Mathematical and Statistical Perspectives.

Sonja Grün, Tomoki Fukai, Eric Shea-Brown, 2018, Annual review of statistics and its application.

Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links

Tomoki Fukai, Jun-nosuke Teramae, Yasuhiro Tsubo, 2012, Scientific Reports.

The lower bound of the network connectivity guaranteeing in-phase synchronization.

J. Teramae, Ryosuke Yoneda, Tsuyoshi Tatsukawa, 2021, Chaos.

Effective Suppression of Pathological Synchronization in Cortical Networks by Highly Heterogeneous Distribution of Inhibitory Connections

Jun-nosuke Teramae, Isao T. Tokuda, Hisashi Kada, 2016, Front. Comput. Neurosci..

Dynamics of limit-cycle oscillators subject to general noise.

G Bard Ermentrout, Hiroya Nakao, Denis S Goldobin, 2009, Physical review letters.

Associative memory model with long-tail-distributed Hebbian synaptic connections

Tomoki Fukai, Jun-nosuke Teramae, Naoki Hiratani, 2013, Front. Comput. Neurosci..

Local cortical circuit model inferred from power-law distributed neuronal avalanches

Tomoki Fukai, Jun-nosuke Teramae, T. Fukai, 2007, Journal of Computational Neuroscience.

Complex evolution of spike patterns during burst propagation through feed-forward networks

Tomoki Fukai, Jun-nosuke Teramae, T. Fukai, 2008, Biological Cybernetics.

Brain-Inspired Communication Technologies: Information Networks with Continuing Internal Dynamics and Fluctuation

Naoki Wakamiya, Jun-nosuke Teramae, N. Wakamiya, 2015, IEICE Trans. Commun..

Low-Complexity Nanosensor Networking Through Spike-Encoded Signaling

Kenji Leibnitz, Naoki Wakamiya, Tetsuya Shimokawa, 2016, IEEE Internet of Things Journal.

Long-Tailed Statistics of Corticocortical EPSPs: Origin and Computational Role of Noise in Cortical Circuits

Tomoki Fukai, Jun-nosuke Teramae, Yasuhiro Tsubo, 2013 .

Macroscopic neural mass model constructed from a current-based network model of spiking neurons

Masato Okada, Hiroaki Umehara, Jun-nosuke Teramae, 2017, Biological Cybernetics.

Reliability of temporal coding on pulse-coupled networks of oscillators

Tomoki Fukai, Jun-nosuke Teramae, T. Fukai, 2007, 0708.0862.

The lower bound of the network connectivity guaranteeing in-phase synchronization.

J. Teramae, Ryosuke Yoneda, Tsuyoshi Tatsukawa, 2021, Chaos.

Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links

T. Fukai, Y. Tsubo, J. Teramae, 2012, Scientific Reports.