| Automatic detection of atrial fibrillation using the coefficient of variation and density histograms of RR and ΔRR intervals K Tateno, L Glass Medical and Biological Engineering and Computing 39, 664-671, 2001 | 368 | 2001 |
| A method for detection of atrial fibrillation using RR intervals K Tateno, L Glass Computers in Cardiology 2000. Vol. 27 (Cat. 00CH37163), 391-394, 2000 | 119 | 2000 |
| Method and system for detection of cardiac arrhythmia L Glass, K Tateno US Patent 7,120,485, 2006 | 85 | 2006 |
| Detection of cardiac arrhythmia using mathematical representation of standard δrr probability density histograms L Glass, K Tateno US Patent 7,146,206, 2006 | 76 | 2006 |
| Complexity of spatiotemporal activity of a neural network model which depends on the degree of synchronization K Tateno, H Hayashi, S Ishizuka Neural Networks 11 (6), 985-1003, 1998 | 56 | 1998 |
| Spontaneous initiation and termination of complex rhythms in cardiac cell culture G Bub, K Tateno, A Shrier, L Glass Journal of cardiovascular electrophysiology 14, S229-S236, 2003 | 53 | 2003 |
| Stochastic resonance in the hippocampal CA3–CA1 model: a possible memory recall mechanism M Yoshida, H Hayashi, K Tateno, S Ishizuka Neural Networks 15 (10), 1171-1183, 2002 | 50 | 2002 |
| Theta phase coding in a network model of the entorhinal cortex layer II with entorhinal-hippocampal loop connections J Igarashi, H Hayashi, K Tateno Cognitive Neurodynamics 1, 169-184, 2007 | 34 | 2007 |
| Cell‐type‐dependent action potentials and voltage‐gated currents in mouse fungiform taste buds K Kimura, Y Ohtubo, K Tateno, K Takeuchi, T Kumazawa, K Yoshii European Journal of Neuroscience 39 (1), 24-34, 2014 | 22 | 2014 |
| Random pulse induced synchronization and resonance in uncoupled non-identical neuron models O Nakamura, K Tateno Cognitive Neurodynamics 13 (3), 303-312, 2019 | 21 | 2019 |
| Dynamical properties of the two-process model for sleep-wake cycles in infantile autism H Matsuura, K Tateno, S Aou Cognitive Neurodynamics 2, 221-228, 2008 | 17 | 2008 |
| Development of frequency based taste receptors using bioinspired glucose nanobiosensor A TermehYousefi, K Tateno, S Bagheri, H Tanaka Scientific Reports 7 (1), 1623, 2017 | 13 | 2017 |
| Brain-inspired neural network navigation system with hippocampus, prefrontal cortex, and amygdala functions A Mizutani, Y Tanaka, H Tamukoh, Y Katori, K Tateno, T Morie 2021 International Symposium on Intelligent Signal Processing and …, 2021 | 8 | 2021 |
| A neural network model of the entorhinal cortex and hippocampus for event-order memory processing H Nakagawa, K Tateno, K Takada, T Morie IEEE Access 10, 43003-43012, 2022 | 6 | 2022 |
| A brain-inspired artificial intelligence model of hippocampus, amygdala, and prefrontal cortex on home service robots Y Tanaka, H Tamukoh, K Tateno, Y Katori, T Morie IEICE Proceeding Series 74, 138-141, 2020 | 6 | 2020 |
| Synchronized spike selection in a hippocampal dentate gyrus network model in the theta frequency range K Tateno, H Hayashi, S Ishizuka International Congress Series 1301, 79-82, 2007 | 6 | 2007 |
| A reservoir based Q-learning model for autonomous mobile robots M Inada, Y Tanaka, H Tamukoh, K Tateno, T Morie, Y Katori IEICE Proceeding Series 74, 213-216, 2020 | 5 | 2020 |
| Prediction of sensory information and generation of motor commands for autonomous mobile robots using reservoir computing M Inada, Y Tanaka, H Tamukoh, K Tateno, T Morie, Y Katori Proceedings 2019 International Symposium on Nonlinear Theory and its …, 2019 | 5 | 2019 |
| A network model toward a taste bud inspired sensor K Tateno, K Yoshii, Y Ohtubo, T Miki International Congress Series 1301, 52-55, 2007 | 5 | 2007 |
| Phase dependent transition between multistable states in a neural network with reciprocal inhibition K Tateno, H Tomonari, H Hayashi, S Ishizuka International Journal of Bifurcation and Chaos 14 (05), 1559-1575, 2004 | 5 | 2004 |
Leon GlassProfessor of Physiology, McGill UniversityEmail yang diverifikasi di mcgill.ca
