Taiki Yamada, Yuichi Katori, and Kantaro Fujiwara, Unsupervised Learning in Echo State Networks for Input Reconstruction, Neural Computation, in press.
Takeaki Yajima, Satya Prakash Pati, Yifan Geng, Satoshi Hamasuna, Kantaro Fujiwara, Tetsuya Iizuka, Hisashi Inoue, and Isao Inoue, "Real-time Information Processing via Volatile Resistance Change in Scalable Protonic Devices", Communications Materials, 5, 177, 2024.
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka, “Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification”, Communications in Computer and Information Science, Vo. 1964, pp. 523-534, 2023.
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka, “An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data”, Lecture Notes in Computer Science, Vol. 14257, pp. 13-25, 2023.
Keita Koyama, Hiroyasu Ando, Kantaro Fujiwara, "Functional improvement in β cell models of type 2 diabetes using on-demand feedback control", AIP Advances, 13, 045317, 2023.
Ryota Nomura, Kantaro Fujiwara, Tohru Ikeguchi, "Superposed recurrence plots for reconstructing a common input applied to neurons", Physical Review E, 106, 034205, 2022.
Keita Koyama, Hiroyasu Ando, Kantaro Fujiwara, "Multiple transition of synchronization by interaction of external and internal forces in bursting oscillator networks", Nonlinear Theory and Its Applications, IEICE, Vol. 12, No.3, pp. 545-553, 2021.
Kotaro Kasahara, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi, "Analysis on the mechanism of enhancing insulin secretion by TRPM2 channel in a pancreatic β-cell", Nonlinear Theory and Its Applications, IEICE, Vol. 12, No.3, pp. 500-511, 2021.
Shiki Kanamaru, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi, "Performance evaluation of chaotic random numbers generated from responses of integer logistic maps", Nonlinear Theory and Its Applications, IEICE, Vol. 12, No.3, pp. 489-499, 2021.
Yutaka Shimada, Mayumi Tatara, Kantaro Fujiwara, Tohru Ikeguchi, "Formation mechanisms of local structures in language networks", EPL, Vol. 127, No. 5, 2019.
Ryota Nomura, Ying-Zong Liang, Kenji Morita, Kantaro Fujiwara, Tohru Ikeguchi, "Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals", PLOS ONE, 13(10) e0206528, 2018.
Hikaru Ohnishi, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi, “Chaotic Neurodynamical Search with Small Number of Neurons for Solving QAP”, Nonlinear Theory and Its Applications, IEICE, Vol. 8, No. 3, pp. 255-265, 2017.
Toshihiro Kobayashi, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi, “Reproducing Infra-Slow Oscillations with Dopaminergic Modulation”, Scientific Reports, 7: 2411, 2017.
内木楓,島田裕,藤原寛太郎,池口徹「Izhikevichニューロンモデルにおけるカオス応答とカオス同期」電子情報通信学会論文誌A, Vol. J100-A, No. 5, pp. 195-204, 2017.
Hiroyasu Ando and Kantaro Fujiwara, "Numerical Analysis of Bursting Activity in an Isolated Pancreatic β-cell Model," Nonlinear Theory and Its Applications, IEICE, Vol. 7, No.2, pp. 217-225, 2016.
Kantaro Fujiwara, Hideyuki Suzuki, Tohru Ikeguchi, Kazuyuki Aihara, "Method for analyzing time-varying statistics on point process data with multiple trials," Nonlinear Theory and its Applications, IEICE, Vol. 6, No. 1, 2015.
藤原寛太郎, 黒河徳大, 山田泰司, 池口徹「リカレンスプロットを用いたニューロンへの入力信号の検出」日本神経回路学会誌, Vol. 21, No. 2, pp. 79-86, 2014.
Kaori Kuroda, Hiroki Hashiguchi, Kantaro Fujiwara, Tohru Ikeguchi, “Reconstruction of network structures from marked point processes using multi-dimensional scaling”, Physica A, Vol.415, pp.194-204, 2014.
Wataru Kurebayashi, Kantaro Fujiwara, Tohru Ikeguchi, “Colored noise induces synchronization of limit cycle oscillators”, EPL (Europhysics Letters), Vol.97, p.50009, 2012.
Kaori Kuroda, Kantaro Fujiwara, Tohru Ikeguchi, “Identification of neural network structure from multiple spike sequences”, Lecture Notes in Computer Science, Vol.7664, pp.184-191, 2012.
Mamoru Suefuji, Takuya Shindou, Kantaro Fujiwara, Kenya Jin'no, Tohru Ikeguchi, “Development of low-frequency electrical therapy device with chaotic vibration and its performance analysis”, Nonlinear Theory and its Applications, IEICE, Vol.3, No.4, pp.621-628, 2012.
Kantaro Fujiwara, Kazuyuki Aihara, Hideyuki Suzuki, “Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator”, Lecture Notes in Computer Science, Vol. 5863, pp. 143-150, 2009.
Kantaro Fujiwara and Kazuyuki Aihara, “Time-varying Irregularities in Multiple Trial Spike Data”, European Physical Journal B, Vol. 68, pp. 283-289, 2009.
Kantaro Fujiwara and Kazuyuki Aihara, “Trial-to-trial Variability and its Influence on Higher Order Statistics,” Journal of Artificial Life and Robotics, Vol. 13, pp. 470-473, 2009.
Kantaro Fujiwara, Hiroki Fujiwara, Minoru Tsukada, and Kazuyuki Aihara, “Reproducing Bursting Interspike Interval Statistics of the Gustatory Cortex”, Biosystems, Vol. 90, pp. 442-448, 2007.
Kantaro Fujiwara and Kazuyuki Aihara, “Classification of the Spike Sequences by Distinguishing their Sources of Temporal Correlations,” Journal of Artificial Life and Robotics, Vol. 11, pp. 167-170, 2007.
Anubhav, Kantaro Fujiwara, "Uncovering Emotion Correlates to Transitions in EEG Energy Landscapes", Proc. The Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications, 2025 (8/17, Montreal)
Ziqiang Li, Robert Simon Fong, Kantaro Fujiwara, Kazuyuki Aihara, Gouhei Tanaka, "Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization", Proc. International Joint Conference on Neural Networks (IJCNN), 2025
Hiroto Tamura, Kantaro Fujiwara, Kazuyuki Aihara, and Gouhei Tanaka, "Online classification of multivariate time series data through Gaussian Reservoir State Analysis (GRSA)", Proc. International Joint Conference on Neural Networks (IJCNN), 2025
Taiki Yamada, Kantaro Fujiwara, "Approximating Eigenmodes of the Koopman Operator of Dynamical Systems Using Kolmogorov-Arnold Networks" Proc. The 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA), 2024
Vishal Chauhan, Anubhav Anubhav, Chia-Ming Chang, Jin Nakazato, Ehsan Javanmardi, Alex Orsholits, Takeo Igarashi, Kantaro Fujiwara, Manabu Tsukada, "Connected Shared Spaces: Expert Insights Into the Impact of eHMI and SPIU for Next-Generation Pedestrian-AV Communication", Proc. International Conference on Intelligent Computing and its Emerging Applications (ICEA2024), Tokyo, Japan, 2024
Anubhav, Kantaro Fujiwara, "Across Trials vs Subjects vs Contexts: A Multi-Reservoir Computing Approach for EEG Variations in Emotion Recognition", Proc. 26th ACM International Conference on Multimodal Interaction, pp. 518-525, 2024
Vishal Chauhan, Anubhav, Chia-Ming Chang, Ehsan Javanmardi, Jin Nakazato, Alex Orsholits, Takeo Igarashi, Kantaro Fujiwara, and Manabu Tsukada, "Transforming Pedestrian and Autonomous Vehicles Interactions in Shared Spaces: A Think-Tank Study on Exploring Human-Centric Designs", Proc. 16th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 136-142, 2024
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka, "Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach", Proc. International Joint Conference on Neural Networks (IJCNN), pp. 1-9, 2024
Hiroto Tamura, Kantaro Fujiwara, Gouhei Tanaka, Kazuyuki AIhara, "Temporal information processing using Mahalanobis distance of reservoir states", International Symposium on Nonlinear Science and Medicine, 2024
Anubhav, Kantaro Fujiwara, "Evolving multi-reservoir network for understanding emotions", International Symposium on Nonlinear Science and Medicine, 2024
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka, "Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification", Proc. ICONIP, 2023
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka, "An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data", Proc. ICANN, 2023
Taiki Yamada, Kantaro Fujiwara, “Topological Inference of State Space as Effective Goal of Dynamics Learning”, Proceedings of the 2023 International Symposium on Nonlinear Theory and its Applications, pp. 366-369, 2023
Anubhav and Kantaro Fujiwara, "Reservoir Splitting method for EEG-based Emotion Recognition", Proceedings of The 11th IEEE International Winter Conference on Brain-Computer Interface, pp. 1-5, 2023
Keita Koyama, Hiroyasu Ando, Kantaro Fujiwara, "Effect of External and Internal Forces on Synchronization of Bursting Oscillator Networks", Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications, pp. 131-134, 2020
Kantaro Fujiwara, “Theoretical Modeling of Information Transmission in Visual Systems”, Proceedings of the 2019 International Symposium on Nonlinear Theory and its Applications, pp. 66-69, 2019
Hiroya Masuoka, Kantaro Fujiwara, Kazuo Emoto, “Elucidation of Synapse Pruning Mechanism Supporting Brain Development Using Mathematical Model”, Proceedings of the 2019 International Symposium on Nonlinear Theory and its Applications, pp. 62-65, 2019
Kotaro Kasahara, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi, "Effects of TRPM2 Channel on Insulin Secretion," Proceedings of the 2019 International Symposium on Nonlinear Theory and its Applications, pp. 54-57, 2019
Nanfu Miya, Yutaka Shimada, Kantaro Fujiwara, and Tohru Ikeguchi, "Effects of excitatory/inhibitory neuron ratio on neural activities and network structures," Proceedings of the 5th International Conference on Mathematical NeuroScience (ICMNS2019), p. 61, 2019
Sakura Rai, Mayu Aoki, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Investigation of ISO Generated by Dopaminergic Modulation and Inhibitory Synaptic Learning”, Proceedings of the 4th International Conference on Mathematical Neuroscience (ICMNS 2018), p.14, 2018
Tohru Ikeguchi, Yutaka Shimada, Kantaro Fujiwara, Sakura Rai, and Toshihiro Kobayashi, "Synaptic Dynamics in ISO by Dopaminergic Modulation and Inhibitory Synaptic Learnings," Proceedings of the 2018 International Symposium on Nonlinear Theory and its Applications, pp. 164-167, 2018.
Misa Fujita, Takayuki Kimura, Kantaro Fujiwara and Tohru Ikeguchi, “Solving the Steiner Tree Problem in Graphs Using the Key-Path Based Neighborhood with the kth Shortest Path” Proceedings of International Symposium on Nonlinear Science and Its Applications 2018, pp. 61-64, 2018
Kohei Yamamoto, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Nonlinear Analysis on Temporally High Resolution Data of Stock Markets in Japan” Proceedings of International Symposium on Nonlinear Science and Its Applications 2018, pp. 434-437, 2018
Shiki Kanamaru, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Nonlinear Time Series Analysis on Loto7” Proceedings of International Symposium on Nonlinear Science and Its Applications 2018, pp. 430-433, 2018
Kantaro Fujiwara, Hiroyasu Ando, Tohru Ikeguchi, Masashi Yoshida and Masafumi Kakei, “Mathematical Model of TRPM2 Activation in Pancreatic Beta-Cells”, Proceedings of International Symposium on Nonlinear Science and Its Applications 2017, pp. 387-390, 2017
Mayu Aoki, Hideyuki Kato, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Effect of Connectivity Weights of Inhibitory Neurons in Neuronal Avalanches”, Proceedings of International Symposium on Nonlinear Science and Its Applications 2017, pp. 152-155, 2017
Misa Fujita, Takayuki Kimura, Kantaro Fujiwara and Tohru Ikeguchi, “Evaluation of the Performance of the Chaotic Neural Network for Solving the Steiner Tree Problem in Graphs with Incident Costs” Proceedings of International Symposium on Nonlinear Science and Its Applications 2017, pp. 712-715, 2017
Kantaro Fujiwara and Tohru Ikeguchi, “Computation of Visual Neurons in LGN-V1 Transmission”, Proceedings of International Symposium on Nonlinear Science and Its Applications, 270, 2016
Toshihiro Kobayashi, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Analysis of Synaptic Dynamics During Infra-Slow Oscillation”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 261-264, 2016
Koshi Abe, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Which vertices Affect the Spread of Disease in Temporal Networks?” Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 618-621, 2016
Hikaru Ohnishi, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “A Chaotic Search with the Effect of Wide Range Search for Solving QAP”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 52-55, 2016
Kaede Naiki, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Synchronization in a Coupled Izhikevich Neuron Model”, Proceedings of International Symposium on Nonlinear Science and Its Applications,, pp. 257-260, 2016
Yusuke Shiomi, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Analysis on Synchronization of Four Metronomes with Numerical Investigation”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 506-509, 2016
Keisuke Miyata, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Irregularity of Inter-Event Interval of Diastrophism”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 141-144, 2016
Mayumi Tatara, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Analysis on Differences of Japanese and English Languages by the Complex Network Theory”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 137-140, 2016
Kantaro Fujiwara and Tohru Ikeguchi, “Neuronal Activities of Response Onset and Offset in Macaque Visual Neurons”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 451-454, 2015
Hiroyasu Ando and Kantaro Fujiwara, “Influence of ionic currents on a simple model for pancreatic beta cells”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 26-29, 2015
Koshi Abe, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Analysis on the spread of disease on temporal networks”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 337-340, 2015
Hikaru Ohnishi, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “A chaotic search for QAP with reducing memory consumption”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 610-613, 2015
Toshihiro Kobayashi, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “STDP Learning Can Explain Infra-Slow Oscillation”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 447-450, 2015
Tsubasa Kawai, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Common noise-induced synchronization of chaotic dynamics and geometrical structures of attractors”, Proceedings of International Symposium on Nonlinear Science and Its Applications, pp. 852-855, 2015
Tsubasa Kawai, Takuya Kurihara, Yutaka Shimada, Kantaro Fujiwara, Kenya Jin’no and Tohru Ikeguchi, “Common Noise-Induced Synchronization of Relaxation Oscillators”, Proceedings of IFAC Conference on Analysis and Control of Chaotic Systems, FrBA.2, 2015
Kantaro Fujiwara and Tohru Ikeguchi, “Temporal Modulation of irregularities on macaque visual neurons”, Proceedings of RIEC International Symposium on Brain Functions and Brain Computer, S5-3, 2015
Akio Watanabe, Yutaka Shimada, Kantaro Fujiwara, Kenya Jin’no and Tohru Ikeguchi, "Performance analysis of adaptive tabu search for quadratic assignment problems, Proceedings of International Symposium on Nonlinear Theory and its Applications, pp. 241-244, 2014
Kantaro Fujiwara and Tohru Ikeguchi, “Classification of Bursting Electrical Activity in Pancreatic beta- cell,” Proceedings of International Symposium on Nonlinear Theory and its Applications, pp. 450-453, 2014
Tsubasa Kawai, Yutaka Shimada, Kantaro Fujiwara, Kenya Jin’no and Tohru Ikeguchi, “Phase synchronization in chaotic oscillators induced by common noise”, Proceedings of International Symposium on Nonlinear Theory and its Applications, pp. 621–624, 2014
Yong Gao, Kaori Kuroda, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Classification of Real Networks by Using Classical Multidimensional Scaling”, Proceedings of International Symposium on Nonlinear Theory and its Applications, pp. 126-129, 2013
Kaori Kuroda, Kantaro Fujiwara and Tohru Ikeguchi, “Detection of Learning in Neural Networks Only from Spike Sequences”, Proceedings of International Symposium on Nonlinear Theory and its Applications, pp. 142-145, 2013
Akiyoshi Tanaka, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, ”Analysis on Information Diffusion of a Mathematical Model with Dynamical Sending Probability”, Proceedings of International Symposium on Nonlinear Theory and its Applications, pp. 298-301, 2013
Akio Watanabe, Kaori Kuroda, Kantaro Fujiwara and Tohru Ikeguchi, “A Chaotic Local Search Algorithm with Adaptive Exchange of Elements for Quadratic Assignment Problems”, Proceedings of International Symposium on Nonlinear Theory and its Applications, pp. 362-365, 2013
Tsubasa Kawai, Kantaro Fujiwara, Kenya Jin’no, Yoshihiko Horio, and Tohru Ikeguchi, “Synchronization Induced by Common Noise in Electric Chaotic Oscillators”, 2013 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, pp. 121-124, 2013
Kaori Kuroda, Kantaro Fujiwara, and Tohru Ikeguchi, “Estimation of Neural Network Structures and Direction of Couplings using Spike Time Metric”, 2013 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, pp. 504-507, 2013
Kantaro Fujiwara and Tohru Ikeguchi, “Effects of Shift in the Excitatory-Inhibitory Balance on Firing Statistics”, Proceedings of 2012 International Symposium on Nonlinear Theory and its Applications, pp.489-492, 2012
Akiyoshi Tanaka, Yutaka Shimada, Kantaro Fujiwara and Tohru Ikeguchi, “Analysis on Network Topology and Dynamics of Information Diffusion”, Proceedings of 2012 International Symposium on Nonlinear Theory and its Applications, pp.57-60, 2012
Mamoru Suefuji, Kantaro Fujiwara and Tohru Ikeguchi, “A Visualization Method for the Stretch- and- Fold Mechanism in Chaotic Dynamics”, Proceedings of 2012 International Symposium on Nonlinear Theory and its Applications, pp.211-214, 2012
Wataru Kurebayashi, Kantaro Fujiwara, Hiroya Nakao and Tohru Ikeguchi, “A Theory on Noise-Induced Synchronization of Chaotic Oscillators”, Proceedings of 2012 International Symposium on Nonlinear Theory and its Applications, pp.344-347, 2012
Tsubasa Kawai, Wataru Kurebayashi, Kantaro Fujiwara, Kenya Jin'no, Yoshihiko Horio and Tohru Ikeguchi, “Synchronization Induced by Common Colored Noise on Electric Circuits”, Proceedings of 2012 International Symposium on Nonlinear Theory and its Applications, pp.348-351, 2012
Wataru Kurebayashi, Kantaro Fujiwara and Tohru Ikeguchi, “Estimating the Phase Response Function Only from Noisy Multivariate Time Series”, Proceedings of 2011 International Symposium on Nonlinear Theory and its Applications, pp.208-211, 2011
Shuhei Ohno, Hideyuki Kato, Kantaro Fujiwara and Tohru Ikeguchi, “Consistency in Neuronal Avalanche Induced by Spike-Timing-Dependent Plasticity”, Proceedings of 2011 International Symposium on Nonlinear Theory and its Applications, pp.589-592, 2011
Kantaro Fujiwara , Kazuyuki Aihara, and Hideyuki Suzuki, “Distinguishing Adaptation Source via Classification Algorithm in Single Neurons”, Proceedings of International Symposium on Innovative Mathematical Modelling, p. 210, 2011
Kantaro Fujiwara, Kazuyuki Aihara, and Hideyuki Suzuki, “Switching Role of Noise in the Aspect of Neuronal Reliability”, Proceedings of 2009 International Symposium on Nonlinear Theory and its Applications, pp. 639-642, 2009
Kantaro Fujiwara, Hideyuki Suzuki, and Kazuyuki Aihara, “Estimation method of the underlying fluctuating variabilities in neuronal spikes”, Society for Neuroscience, No.498.7. 2008
Kantaro Fujiwara and Kazuyuki Aihara, “Trial-to-trial variability and its influence on higher order statistics”, Proceedings of The Thirteenth International Symposium on Artificial Life and Robotics, pp. 481-484, 2008
Kantaro Fujiwara and Kazuyuki Aihara, "Higher-order ergodicity of neuronal spike trains", International Workshop on Synchronization: Phenomena and Analyses, p. 40, 2006
Kantaro Fujiwara and Kazuyuki Aihara, “Classification of the Spike Sequences by Discriminating their Sources of Time Correlation”, Proceedings of The Eleventh International Symposium on Artificial Life and Robotics, pp. 402-405, 2006
Kantaro Fujiwara and Kazuyuki Aihara, "Impact of Persistent Sodium Current on Bursting Characteristics", Proceedings of International Symposium on Complexity Modelling and its Applications, p. 18, 2005
Hideyuki Suzuki, Nicolas Schweighofer, Yoshito Hirata, Kantaro Fujiwara, Yuichi Katori, Hidetoshi Shimokawa, Kazuyuki Aihara, Mitsuo Kawato, Kenji Doya, Timothy A. Blenkinsop, Eric J. Lang, “Can electrical coupling induce chaos in inferior olive neurons? Experimental evidence”, Society for Neuroscience, No. 689.13, 2005
Kantaro Fujiwara and Kazuyuki Aihara, “Effects of Neuronal Integration Mechanism on ISI Statistics”, Proceedings of 2nd Shanghai International Symposium on Nonlinear Science and Applications, p. 64, 2005
Kantaro Fujiwara and Kazuyuki Aihara, “A Simple Neuron Model with Memory of Firing”, Proceedings of 2004 International Symposium on Nonlinear Theory and its Applications, pp. 497-500, 2004