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  1. No Access

    Chapter and Conference Paper

    Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification

    The Spreading Process Classification (SPC) is a popular application of temporal graph classification. The aim of SPC is to classify different spreading patterns of information or pestilence within a community ...

    Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka in Neural Information Processing (2024)

  2. No Access

    Chapter and Conference Paper

    An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data

    With the development of Continuous Blood Pressure (CBP) monitoring devices, we can collect real-time blood pressure non-invasively and accurately. Since CBP data can reflect the unique dynamical characteristic...

    Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka in Artificial Neural Networks and Machine Lea… (2023)

  3. Article

    Open Access

    Reproducing Infra-Slow Oscillations with Dopaminergic Modulation

    In the human brain, billions of neurons construct a neural network via synaptic connections. Neuronal excitation and inhibition are transmitted to other neurons through synapses via neurotransmitters. Dopamine...

    Toshihiro Kobayashi, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi in Scientific Reports (2017)

  4. No Access

    Chapter and Conference Paper

    Identification of Neural Network Structure from Multiple Spike Sequences

    In this paper, we propose a new estimation method of direction of the connectivity between neurons in neural network only from multiple spike sequences. The proposed method is based on the spike time metric, o...

    Kaori Kuroda, Kantaro Fujiwara, Tohru Ikeguchi in Neural Information Processing (2012)

  5. No Access

    Article

    Trial-to-trial variability and its influence on higher-order statistics

    Firing patterns of neurons are highly variable from trial to trial, even when we record a well-specified neuron exposed to identical stimuli under the same experimental conditions. The trial-to-trial variabili...

    Kantaro Fujiwara, Kazuyuki Aihara in Artificial Life and Robotics (2009)

  6. No Access

    Chapter and Conference Paper

    Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator

    The lengths of interspike intervals between two successive spikes in a neural spike train often vary both within and across trials. In order to describe and analyze neuronal firing, statistical models and meth...

    Kantaro Fujiwara, Kazuyuki Aihara, Hideyuki Suzuki in Neural Information Processing (2009)

  7. No Access

    Article

    Classification of the spike sequences by distinguishing their sources of temporal correlations

    Irregular spike sequences of the cerebral cortex in vivo have been observed in numerous previous studies. These spike sequences generally differ from an entirely random sequence, and exhibit temporal correlati...

    Kantaro Fujiwara, Kazuyuki Aihara in Artificial Life and Robotics (2007)