Jun-nosuke Teramae

1.3k total citations
31 papers, 846 citations indexed

About

Jun-nosuke Teramae is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Jun-nosuke Teramae has authored 31 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 16 papers in Computer Networks and Communications and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Jun-nosuke Teramae's work include Neural dynamics and brain function (20 papers), stochastic dynamics and bifurcation (14 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Jun-nosuke Teramae is often cited by papers focused on Neural dynamics and brain function (20 papers), stochastic dynamics and bifurcation (14 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Jun-nosuke Teramae collaborates with scholars based in Japan, Russia and United States. Jun-nosuke Teramae's co-authors include Dan Tanaka, Tomoki Fukai, Hiroya Nakao, Yasuhiro Tsubo, G. Bard Ermentrout, Denis S. Goldobin, Bard Ermentrout, Yoshiki Kuramoto, Vladimir Klinshov and Vladimir I. Nekorkin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Jun-nosuke Teramae

27 papers receiving 829 citations

Peers

Jun-nosuke Teramae

SNP

CNC

CMN

EEE

Toshio Aoyagi Japan

Ergin Yılmaz Türkiye

Muhammet Uzuntarla Türkiye

C. Meunier France

Vladimir Klinshov Russia

Simona Olmi Italy

Christian Bick United Kingdom

Pulin Gong Australia

Xinlin Song China

Michael A. Buice United States

Toshio Aoyagi Japan

Jun-nosuke Teramae

564 ×1.0

358 ×0.8

SNP

467 ×1.1

CNC

171 ×0.9

CMN

102 ×0.7

EEE

Citations per year, relative to Jun-nosuke Teramae Jun-nosuke Teramae (= 1×) peers Toshio Aoyagi

Countries citing papers authored by Jun-nosuke Teramae

Since Specialization

Citations

This map shows the geographic impact of Jun-nosuke Teramae's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun-nosuke Teramae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-nosuke Teramae more than expected).

Fields of papers citing papers by Jun-nosuke Teramae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-nosuke Teramae. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun-nosuke Teramae. The network helps show where Jun-nosuke Teramae may publish in the future.

Co-authorship network of co-authors of Jun-nosuke Teramae

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-nosuke Teramae. A scholar is included among the top collaborators of Jun-nosuke Teramae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun-nosuke Teramae. Jun-nosuke Teramae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Teramae, Jun-nosuke, et al.. (2018). Highly Heterogeneous Excitatory Connections Require Less Amount of Noise to Sustain Firing Activities in Cortical Networks. Frontiers in Computational Neuroscience. 12. 104–104. 2 indexed citations

Okada, Masato, et al.. (2017). Macroscopic neural mass model constructed from a current-based network model of spiking neurons. Biological Cybernetics. 111(1). 91–103. 2 indexed citations

Teramae, Jun-nosuke, et al.. (2016). Effective Suppression of Pathological Synchronization in Cortical Networks by Highly Heterogeneous Distribution of Inhibitory Connections. Frontiers in Computational Neuroscience. 10. 109–109. 3 indexed citations

Teramae, Jun-nosuke. (2016). Long-tailed distribution of synaptic strength reveals origin and functional roles of ongoing fluctuation in cortical circuit. AIP conference proceedings. 1738. 210016–210016. 1 indexed citations

Teramae, Jun-nosuke, et al.. (2016). An Adaptive Routing Protocol with Balanced Stochastic Route Exploration and Stabilization Based on Short-Term Memory. IEICE Transactions on Communications. E99.B(11). 2280–2288.

Teramae, Jun-nosuke & Tomoki Fukai. (2014). Computational Implications of Lognormally Distributed Synaptic Weights. Proceedings of the IEEE. 102(4). 500–512. 27 indexed citations

Klinshov, Vladimir, Jun-nosuke Teramae, Vladimir I. Nekorkin, & Tomoki Fukai. (2014). Dense Neuron Clustering Explains Connectivity Statistics in Cortical Microcircuits. PLoS ONE. 9(4). e94292–e94292. 36 indexed citations

Hiratani, Naoki, Jun-nosuke Teramae, & Tomoki Fukai. (2013). Associative memory model with long-tail-distributed Hebbian synaptic connections. Frontiers in Computational Neuroscience. 6. 102–102. 26 indexed citations

Teramae, Jun-nosuke, Yasuhiro Tsubo, & Tomoki Fukai. (2012). Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links. Scientific Reports. 2(1). 99 indexed citations

10.

Goldobin, Denis S., Jun-nosuke Teramae, Hiroya Nakao, & Bard Ermentrout. (2010). Dynamics of Limit-Cycle Oscillators Subject to General Noise. Physical Review Letters. 105(15). 154101–154101. 87 indexed citations

11.

Nakao, Hiroya, Jun-nosuke Teramae, Denis S. Goldobin, & Yoshiki Kuramoto. (2010). Effective long-time phase dynamics of limit-cycle oscillators driven by weak colored noise. Chaos An Interdisciplinary Journal of Nonlinear Science. 20(3). 33126–33126. 30 indexed citations

12.

Teramae, Jun-nosuke, Hiroya Nakao, & G. Bard Ermentrout. (2009). Stochastic Phase Reduction for a General Class of Noisy Limit Cycle Oscillators. Physical Review Letters. 102(19). 194102–194102. 87 indexed citations

13.

Teramae, Jun-nosuke & Tomoki Fukai. (2008). Temporal Precision of Spike Response to Fluctuating Input in Pulse-Coupled Networks of Oscillating Neurons. Physical Review Letters. 101(24). 248105–248105. 21 indexed citations

14.

Teramae, Jun-nosuke & Tomoki Fukai. (2008). Complex evolution of spike patterns during burst propagation through feed-forward networks. Biological Cybernetics. 99(2). 105–114. 7 indexed citations

15.

Teramae, Jun-nosuke & Tomoki Fukai. (2007). Sequential associative memory with nonuniformity of the layer sizes. Physical Review E. 75(1). 11910–11910. 2 indexed citations

16.

Tsubo, Yasuhiro, Jun-nosuke Teramae, & Tomoki Fukai. (2007). Synchronization of Excitatory Neurons with Strongly Heterogeneous Phase Responses. Physical Review Letters. 99(22). 228101–228101. 29 indexed citations

17.

Teramae, Jun-nosuke & Tomoki Fukai. (2007). Local cortical circuit model inferred from power-law distributed neuronal avalanches. Journal of Computational Neuroscience. 22(3). 301–312. 54 indexed citations

18.

Teramae, Jun-nosuke & Tomoki Fukai. (2005). A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Implications in Working Memory. Journal of Computational Neuroscience. 18(1). 105–121. 22 indexed citations

19.

Teramae, Jun-nosuke & Dan Tanaka. (2004). Robustness of the Noise-Induced Phase Synchronization in a General Class of Limit Cycle Oscillators. Physical Review Letters. 93(20). 204103–204103. 248 indexed citations

20.

Teramae, Jun-nosuke & Yoshiki Kuramoto. (2001). Strong desynchronizing effects of weak noise in globally coupled systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(3). 36210–36210. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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