Bifurcation Structures of Period-Adding Phenomena in an Ocean Internal Wave Model. - Gouhei Tanaka; Sunao Murashige; Kazuyuki Aihara (Int. J. Bifurc. Chaos, 2003)

Multistate Associative Memory with Parametrically Coupled Map Networks. - Gouhei Tanaka; Kazuyuki Aihara (Int. J. Bifurc. Chaos, 2005)

A Mathematical Model of Intermittent Androgen Suppression for Prostate Cancer. - Aiko Miyamura Ideta; Gouhei Tanaka; Takumi Takeuchi; Kazuyuki Aihara (J. Nonlinear Sci., 2008)

Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks. - Gouhei Tanaka; Kazuyuki Aihara (ICONIP (1), 2009)

Complex-Valued Multistate Associative Memory With Nonlinear Multilevel Functions for Gray-Level Image Reconstruction. - Gouhei Tanaka; Kazuyuki Aihara (IEEE Trans. Neural Networks, 2009)

Dynamical modeling of chronic myeloid leukemia progression and the development of mutations. - Ben-gong Zhang; Gouhei Tanaka; Luonan Chen; Kazuyuki Aihara (BIBM Workshops, 2012)

On the analysis of the bifurcation sets of equilibrium points in parameter space. - Graziano Chesi; Gouhei Tanaka; Yoshito Hirata; Kazuyuki Aihara (ECC, 2013)

Complex-Valued Neural Networks: Advances and Applications [Book Review]. - Gouhei Tanaka (IEEE Comput. Intell. Mag., 2013)

Hopfield-Type Associative Memory with Sparse Modular Networks. - Gouhei Tanaka; Toshiyuki Yamane; Daiju Nakano; Ryosho Nakane; Yasunao Katayama (ICONIP (1), 2014)

Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators. - Toshiyuki Yamane; Yasunao Katayama; Ryosho Nakane; Gouhei Tanaka; Daiju Nakano (ICONIP (3), 2015)

Regularity and randomness in modular network structures for neural associative memories. - Gouhei Tanaka; Toshiyuki Yamane; Daiju Nakano; Ryosho Nakane; Yasunao Katayama (IJCNN, 2015)

Wave-based device scaling concept for brain-like energy efficiency and integration. - Yasunao Katayama; Toshiyuki Yamane; Daiju Nakano; Ryosho Nakane; Gouhei Tanaka (NANOARCH, 2015)

Dynamics of an HBV Model with Drug Resistance Under Intermittent Antiviral Therapy. - Ben-gong Zhang; Gouhei Tanaka; Kazuyuki Aihara; Masao Honda; Shuichi Kaneko; Luonan Chen (Int. J. Bifurc. Chaos, 2015)

Computational Performance of Echo State Networks with Dynamic Synapses. - Ryota Mori; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Kazuyuki Aihara (ICONIP (1), 2016)

Photonic Reservoir Computing Based on Laser Dynamics with External Feedback. - Seiji Takeda; Daiju Nakano; Toshiyuki Yamane; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Shigeru Nakagawa (ICONIP (1), 2016)

Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture. - Gouhei Tanaka; Ryosho Nakane; Toshiyuki Yamane; Daiju Nakano; Seiji Takeda; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (1), 2016)

A Hybrid Pooling Method for Convolutional Neural Networks. - Zhiqiang Tong; Kazuyuki Aihara; Gouhei Tanaka (ICONIP (2), 2016)

Dynamics of Reservoir Computing at the Edge of Stability. - Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Gouhei Tanaka; Ryosho Nakane; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (1), 2016)

Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing. - Akira Hirose 001; Seiji Takeda; Toshiyuki Yamane; Daiju Nakano; Shigeru Nakagawa; Ryosho Nakane; Gouhei Tanaka (ICONIP (4), 2017)

Waveform Classification by Memristive Reservoir Computing. - Gouhei Tanaka; Ryosho Nakane; Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (4), 2017)

Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis. - Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Shigeru Nakagawa (ICONIP (1), 2017)

Proposal of Carrier-Wave Reservoir Computing. - Akira Hirose 001; Gouhei Tanaka; Seiji Takeda; Toshiyuki Yamane; Hidetoshi Numata; Naoki Kanazawa; Jean Benoit Héroux; Daiju Nakano; Ryosho Nakane (ICONIP (1), 2018)

Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprints. - Daiki Ito; Raku Shirasawa; Shinnosuke Hattori; Shigetaka Tomiya; Gouhei Tanaka (ICONIP (5), 2018)

Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing. - Toshiyuki Yamane; Hidetoshi Numata; Jean Benoit Héroux; Naoki Kanazawa; Seiji Takeda; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Daiju Nakano (ICONIP (1), 2018)

Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition. - Zhiqiang Tong; Gouhei Tanaka (ICPR, 2018)

Reservoir Computing With Spin Waves Excited in a Garnet Film. - Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IEEE Access, 2018)

Echo State Network with Adversarial Training. - Takanori Akiyama; Gouhei Tanaka (ICANN (Workshop), 2019)

Application Identification of Network Traffic by Reservoir Computing. - Toshiyuki Yamane; Jean Benoit Héroux; Hidetoshi Numata; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001 (ICONIP (5), 2019)

Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction. - Takanori Akiyama; Gouhei Tanaka (IJCNN, 2019)

In a Spin-Wave Reservoir for Machine Learning. - Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2019)

Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware. - Akira Hirose 001; Seiji Takeda; Toshiyuki Yamane; Hidetoshi Numata; Naoki Kanazawa; Jean Benoit Héroux; Daiju Nakano; Ryosho Nakane; Gouhei Tanaka (Aust. J. Intell. Inf. Process. Syst., 2019)

Echo State Networks Composed of Units with Time-Varying Nonlinearity. - Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001 (Aust. J. Intell. Inf. Process. Syst., 2019)

Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks. - Zhiqiang Tong; Gouhei Tanaka (Neurocomputing, 2019)

Recent advances in physical reservoir computing: A review. - Gouhei Tanaka; Toshiyuki Yamane; Jean Benoit Héroux; Ryosho Nakane; Naoki Kanazawa; Seiji Takeda; Hidetoshi Numata; Daiju Nakano; Akira Hirose 001 (Neural Networks, 2019)

Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing. - Hiroto Tamura; Gouhei Tanaka (ICANN (2), 2020)

Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics. - Takehiro Ichimura; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2020)

HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction. - Ziqiang Li; Gouhei Tanaka (IJCNN, 2020)

Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction. - Ziqiang Li; Gouhei Tanaka (IJCNN, 2020)

Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory. - Gouhei Tanaka; Ryosho Nakane; Tomoya Takeuchi; Toshiyuki Yamane; Daiju Nakano; Yasunao Katayama; Akira Hirose 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction. - Ziqiang Li; Gouhei Tanaka (ICONIP (2), 2021)

partial-FORCE: A fast and robust online training method for recurrent neural networks. - Hiroto Tamura; Gouhei Tanaka (IJCNN, 2021)

A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device. - Takehiro Ichimura; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IEEE Access, 2021)

2021 Roadmap on Neuromorphic Computing and Engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics. - Gouhei Tanaka; Tadayoshi Matsumori; Hiroaki Yoshida; Kazuyuki Aihara (CoRR, 2021)

Simulation platform for pattern recognition based on reservoir computing with memristor networks. - Gouhei Tanaka; Ryosho Nakane (CoRR, 2021)

Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models. - Hiroto Tamura; Gouhei Tanaka (Neural Networks, 2021)

Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip. - Jiaxuan Chen; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2022)

Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals. - Junya Kato; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001 (IJCNN, 2022)

Computational Efficiency of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction. - Takanori Akiyama; Gouhei Tanaka (IEEE Access, 2022)

Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions. - Ryosho Nakane; Akira Hirose 001; Gouhei Tanaka (CoRR, 2022)

A Simple Memristive Circuit for Pattern Classification Based on Reservoir Computing. - Zhiqiang Tong; Ryosho Nakane; Akira Hirose 001; Gouhei Tanaka (Int. J. Bifurc. Chaos, 2022)

Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction. - Ziqiang Li; Gouhei Tanaka (Neurocomputing, 2022)

Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses. - Xiao Hong; Yuexing Han; Gouhei Tanaka; Bing Wang 019 (Knowl. Based Syst., 2022)

2022 roadmap on neuromorphic computing and engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)

Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. - Gouhei Tanaka; Claudio Gallicchio; Alessio Micheli; Juan-Pablo Ortega; Akira Hirose 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data. - Ziqiang Li; Kantaro Fujiwara; Gouhei Tanaka (ICANN (4), 2023)

Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification. - Ziqiang Li; Kantaro Fujiwara; Gouhei Tanaka (ICONIP (10), 2023)

Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing. - Jiaxuan Chen; Haotian Chen; Ryosho Nakane; Gouhei Tanaka; Akira Hirose 001 (IJCNN, 2023)

Long-time-constant leaky-integrating oxygen-vacancy drift-diffusion FET for human-interactive spiking reservoir computing. - Hisashi Inoue; Hiroto Tamura; Ai Kitoh; Xiangyu Chen; Zolboo Byambadorj; Takeaki Yajima; Yasushi Hotta; Tetsuya Iizuka; Gouhei Tanaka; Isao H. Inoue (VLSI Technology and Circuits, 2023)

Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification. - Ziqiang Li; Kantaro Fujiwara; Gouhei Tanaka (CoRR, 2023)

Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting. - Junkai Mao; Yuexing Han; Gouhei Tanaka; Bing Wang (CoRR, 2023)

Multi-Reservoir Echo State Networks with Hodrick-Prescott Filter for nonlinear time-series prediction. - Ziqiang Li; Yun Liu; Gouhei Tanaka (Appl. Soft Comput., 2023)

Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach. - Ziqiang Li; Kantaro Fujiwara; Gouhei Tanaka (IJCNN, 2024)

Diffusion model for relational inference. - Shuhan Zheng; Ziqiang Li; Kantaro Fujiwara; Gouhei Tanaka (CoRR, 2024)

Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing. - Shihori Koyama; Daisuke Inoue; Hiroaki Yoshida; Kazuyuki Aihara; Gouhei Tanaka (CoRR, 2024)

Backbone-based Dynamic Spatio-Temporal Graph Neural Network for epidemic forecasting. - Junkai Mao; Yuexing Han; Gouhei Tanaka; Bing Wang 019 (Knowl. Based Syst., 2024)

Transformer-Based Vector Font Classification Using Different Font Formats: TrueType versus PostScript. - Takumu Fujioka; Gouhei Tanaka (CoRR, 2025)

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection. - Keigo Nogami; Hiroto Tamura; Gouhei Tanaka (CoRR, 2025)

Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization. - Ziqiang Li; Robert Simon Fong; Kantaro Fujiwara; Kazuyuki Aihara; Gouhei Tanaka (CoRR, 2025)

Hebbian Physics Networks: A Self-Organizing Computational Architecture Based on Local Physical Laws. - Gunjan Auti; Hirofumi Daiguji; Gouhei Tanaka (CoRR, 2025)