Yuichi Katori

430 total citations
35 papers, 227 citations indexed

About

Yuichi Katori is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yuichi Katori has authored 35 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 20 papers in Artificial Intelligence and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Yuichi Katori's work include Neural dynamics and brain function (30 papers), Neural Networks and Reservoir Computing (18 papers) and Advanced Memory and Neural Computing (18 papers). Yuichi Katori is often cited by papers focused on Neural dynamics and brain function (30 papers), Neural Networks and Reservoir Computing (18 papers) and Advanced Memory and Neural Computing (18 papers). Yuichi Katori collaborates with scholars based in Japan, United States and Spain. Yuichi Katori's co-authors include Kazuyuki Aihara, Hakaru Tamukoh, Takashi Morie, Takashi Kohno, Jing Li, Hajime Mushiake, Kazuhiro Sakamoto, Naohiro Saito, Eric J. Lang and Keita Tokuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Yuichi Katori

31 papers receiving 226 citations

Peers

Countries citing papers authored by Yuichi Katori

Since Specialization

Citations

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

Fields of papers citing papers by Yuichi Katori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Katori

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

#	Work	Indexed citations
1	Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modeling in vitro neurons 2025 ·Frontiers in Neuroscience ·(unknown), (unknown), Hideaki Yamamoto, (unknown), Yuichi Katori, Jordi Soriano, Ayumi Hirano‐Iwata	1
2	Integrating predictive coding with reservoir computing in spiking neural network model of cultured neurons 2024 ·Nonlinear Theory and Its Applications IEICE ·(unknown), (unknown), (unknown), (unknown), Hideaki Yamamoto, Yuichi Katori	2
3	Enhancing Memory Capacity of Reservoir Computing with Delayed Input and Efficient Hardware Implementation with Shift Registers 2024 ·(unknown), (unknown), (unknown), (unknown), Yuichiro Tanaka, Yuichi Katori, Osamu Nomura, Takashi Morie, Hakaru Tamukoh	1
4	In silico modeling of reservoir-based predictive coding in biological neuronal networks on microelectrode arrays 2024 ·Japanese Journal of Applied Physics ·(unknown), Hideaki Yamamoto, (unknown), (unknown), (unknown), Shigeo Sato, Yuichi Katori, Ayumi Hirano‐Iwata	0
5	Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing 2024 ·Frontiers in Artificial Intelligence ·Keita Tokuda, Yuichi Katori	0
6	Biological neurons act as generalization filters in reservoir computing 2023 ·Proceedings of the National Academy of Sciences ·(unknown), Hideaki Yamamoto, Yuichi Katori, (unknown), Satoshi Moriya, Tomohiro Konno, Shigeo Sato, Ayumi Hirano‐Iwata	28
7	Analysis of predictive coding model with hierarchical reservoir computing for modeling Stroop effects 2023 ·(unknown), (unknown), (unknown), Yuichi Katori	0
8	Computation harvesting from nature dynamics for predicting wind speed and direction 2023 ·PLoS ONE ·(unknown), Hiroyasu Ando, Yuichi Katori	2
9	Monkey Prefrontal Single-Unit Activity Reflecting Category-Based Logical Thinking Process and Its Neural Network Model 2022 ·Journal of Neuroscience ·Takayuki Hosokawa, (unknown), Yuichi Katori, (unknown), Kazuyuki Aihara, Ken‐Ichiro Tsutsui	1
10	Network model of predictive coding based on reservoir computing for multi-modal processing of visual and auditory signals 2021 ·Nonlinear Theory and Its Applications IEICE ·(unknown), Yuichi Katori	9
11	Chaos may enhance expressivity in cerebellar granular layer 2020 ·Neural Networks ·Keita Tokuda, Naoya Fujiwara, (unknown), Yuichi Katori	12
12	A Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation 2019 ·Masatoshi Yamaguchi, Yuichi Katori, (unknown), Hakaru Tamukoh, Takashi Morie	6
13	Bifurcation Analysis on Phase-Amplitude Cross-Frequency Coupling in Neural Networks with Dynamic Synapses 2017 ·Frontiers in Computational Neuroscience ·(unknown), Yuichi Katori, (unknown), Kazuyuki Aihara	10
14	A Computational Model for Pitch Pattern Perception with the Echo State Network 2016 ·(unknown), Yuichi Katori, Kazuyuki Aihara	1
15	How Can We See Things That Are Not There? Current Insights into Complex Visual Hallucinations 2016 ·Journal of Consciousness Studies ·Daniel Collerton, John‐Paul Taylor, Ichiro Tsuda, Hiroshi Fujii, (unknown), Kazuyuki Aihara, Yuichi Katori	12
16	Increased Firing Irregularity as an Emergent Property of Neural-State Transition in Monkey Prefrontal Cortex 2013 ·PLoS ONE ·Kazuhiro Sakamoto, Yuichi Katori, Naohiro Saito, Shun Yoshida, Kazuyuki Aihara, Hajime Mushiake	8
17	Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses 2013 ·Frontiers in Computational Neuroscience ·Yuichi Katori	4
18	Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation 2013 ·Neural Networks ·(unknown), (unknown), Mitsuo Kawato, Isao T. Tokuda, Nicolas Schweighofer, Yuichi Katori, Kazuyuki Aihara, Eric J. Lang, Keisuke Toyama	9
19	An FPGA-Based Silicon Neuronal Network with Selectable Excitability Silicon Neurons 2012 ·Frontiers in Neuroscience ·Jing Li, Yuichi Katori, Takashi Kohno	17
20	Testing a neural coding hypothesis using surrogate data 2008 ·Journal of Neuroscience Methods ·Yoshito Hirata, Yuichi Katori, (unknown), Hideyuki Suzuki, Timothy A. Blenkinsop, Eric J. Lang, Kazuyuki Aihara	12

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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