Hatsuo Hayashi

762 total citations
37 papers, 524 citations indexed

About

Hatsuo Hayashi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Hatsuo Hayashi has authored 37 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Hatsuo Hayashi's work include Neural dynamics and brain function (22 papers), Neuroscience and Neuropharmacology Research (13 papers) and stochastic dynamics and bifurcation (8 papers). Hatsuo Hayashi is often cited by papers focused on Neural dynamics and brain function (22 papers), Neuroscience and Neuropharmacology Research (13 papers) and stochastic dynamics and bifurcation (8 papers). Hatsuo Hayashi collaborates with scholars based in Japan, China and Canada. Hatsuo Hayashi's co-authors include Satoru Ishizuka, Kazuyoshi Hirakawa, Katsumi Tateno, Makoto Ohta, Motoharu Yoshida, Jun Igarashi, Tetsuya Asai, Masahiro Nakao, Takashi Morie and Hidetoshi Miike and has published in prestigious journals such as Brain Research, Molecules and Journal of Theoretical Biology.

In The Last Decade

Hatsuo Hayashi

36 papers receiving 495 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hatsuo Hayashi Japan	13	350	261	181	161	87	37	524
Yasuhiro Tsubo Japan	11	364 1.0×	203 0.8×	176 1.0×	130 0.8×	74 0.9×	19	477
Michael Stiber United States	13	305 0.9×	237 0.9×	127 0.7×	181 1.1×	78 0.9×	40	406
Maksim Bazhenov United States	9	444 1.3×	346 1.3×	228 1.3×	296 1.8×	47 0.5×	15	682
Bruno Cessac France	15	474 1.4×	276 1.1×	134 0.7×	110 0.7×	159 1.8×	54	712
Peter F. Rowat United States	11	331 0.9×	252 1.0×	94 0.5×	130 0.8×	41 0.5×	16	448
Kunichika Tsumoto Japan	14	244 0.7×	290 1.1×	104 0.6×	201 1.2×	49 0.6×	30	582
Yakov Kazanovich Russia	15	379 1.1×	123 0.5×	112 0.6×	185 1.1×	54 0.6×	39	542
Pulin Gong Australia	19	816 2.3×	309 1.2×	289 1.6×	192 1.2×	90 1.0×	54	1.0k
Aaditya V. Rangan United States	15	475 1.4×	320 1.2×	228 1.3×	124 0.8×	100 1.1×	46	641
Douglas Zhou China	15	344 1.0×	200 0.8×	181 1.0×	65 0.4×	95 1.1×	56	570

Countries citing papers authored by Hatsuo Hayashi

Since Specialization

Citations

This map shows the geographic impact of Hatsuo Hayashi'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 Hatsuo Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatsuo Hayashi more than expected).

Fields of papers citing papers by Hatsuo Hayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hatsuo Hayashi. 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 Hatsuo Hayashi. The network helps show where Hatsuo Hayashi may publish in the future.

Co-authorship network of co-authors of Hatsuo Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Hatsuo Hayashi. A scholar is included among the top collaborators of Hatsuo Hayashi 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 Hatsuo Hayashi. Hatsuo Hayashi 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

Hayashi, Hatsuo, et al.. (2012). Directional spike propagation in a recurrent network: Dynamical firewall as anisotropic recurrent inhibition. Neural Networks. 33. 236–246. 3 indexed citations

Hayashi, Hatsuo, et al.. (2010). Cooperation and competition between lateral and medial perforant path synapses in the dentate gyrus. Neural Networks. 24(3). 233–246. 15 indexed citations

Hayashi, Hatsuo & Jun Igarashi. (2009). LTD windows of the STDP learning rule and synaptic connections having a large transmission delay enable robust sequence learning amid background noise. Cognitive Neurodynamics. 3(2). 119–130. 11 indexed citations

Ogata, Genki, et al.. (2008). The possibility of brain-inspired time-series memory system using the recurrent neuronal network between entorhinal cortex and hippocampus. 2008. 1778–1782.

Miura, Keiji, et al.. (2008). BURST SYNCHRONIZATION AND CHAOTIC PHENOMENA IN TWO STRONGLY COUPLED RESONATE-AND-FIRE NEURONS. International Journal of Bifurcation and Chaos. 18(4). 1249–1259. 2 indexed citations

Liang, Haichao, et al.. (2007). An FPGA-based CollisionWarning System Using Hybrid Approach. 30–35. 1 indexed citations

Yoshida, Motoharu & Hatsuo Hayashi. (2007). Emergence of sequence sensitivity in a hippocampal CA3–CA1 model. Neural Networks. 20(6). 653–667. 13 indexed citations

Asai, Tetsuya, et al.. (2007). A subthreshold CMOS circuit for a piecewise linear neuromorphic oscillator with current-mode low-pass filters. Neurocomputing. 71(1-3). 3–12. 4 indexed citations

Liang, Haichao, et al.. (2006). Digital VLSI Implementation of a Moving Object Detection Algorithm Based on Neuronal Propagation in the Hippocampus. 614–617. 2 indexed citations

10.

Igarashi, Jun, Hatsuo Hayashi, & Katsumi Tateno. (2006). Theta phase coding in a network model of the entorhinal cortex layer II with entorhinal-hippocampal loop connections. Cognitive Neurodynamics. 1(2). 169–184. 21 indexed citations

11.

Asai, Tetsuya, et al.. (2006). ANALOG VLSI IMPLEMENTATION OF RESONATE-AND-FIRE NEURON. International Journal of Neural Systems. 16(6). 445–456. 14 indexed citations

12.

Yoshida, Motoharu & Hatsuo Hayashi. (2004). Regulation of spontaneous rhythmic activity and organization of pacemakers as memory traces by spike-timing-dependent synaptic plasticity in a hippocampal model. Physical Review E. 69(1). 11910–11910. 7 indexed citations

13.

Yoshida, Motoharu, Hatsuo Hayashi, Katsumi Tateno, & Satoru Ishizuka. (2002). Stochastic resonance in the hippocampal CA3–CA1 model: a possible memory recall mechanism. Neural Networks. 15(10). 1171–1183. 28 indexed citations

14.

Hayashi, Hatsuo, et al.. (2001). Long-term change in synaptic transmission in CA3 circuits followed by spontaneous rhythmic activity in rat hippocampal slices. Neuroscience Research. 40(4). 325–336. 4 indexed citations

15.

Tateno, Katsumi, Hatsuo Hayashi, & Satoru Ishizuka. (1998). Complexity of spatiotemporal activity of a neural network model which depends on the degree of synchronization. Neural Networks. 11(6). 985–1003. 24 indexed citations

16.

Ishizuka, Satoru & Hatsuo Hayashi. (1998). Spontaneous epileptiform bursts and long-term potentiation in rat CA3 hippocampal slices induced by chaotic stimulation of mossy fibers. Brain Research. 790(1-2). 108–114. 6 indexed citations

17.

Ishizuka, Satoru & Hatsuo Hayashi. (1996). Chaotic and phase-locked responses of the somatosensory cortex to a periodic medial lemniscus stimulation in the anesthetized rat. Brain Research. 723(1-2). 46–60. 16 indexed citations

18.

Hayashi, Hatsuo & Satoru Ishizuka. (1995). Chaotic responses of the hippocampal CA3 region to a mossy fiber stimulation in vitro. Brain Research. 686(2). 194–206. 64 indexed citations

19.

Hayashi, Hatsuo & Kazuyoshi Hirakawa. (1979). The Instability in the Membrane Potential of the Nitella Internodal Cell. Journal of the Physical Society of Japan. 47(1). 345–346. 3 indexed citations

20.

Hirakawa, Kazuyoshi, Hidetoshi Miike, & Hatsuo Hayashi. (1972). Anomalous Thermal Conduction in a One-Dimensional Antiferromagnet KCuF₃. Journal of the Physical Society of Japan. 33(1). 266–266. 2 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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