| Effects of delayed visual information on the rate and amount of prism adaptation in the human TU Shigeru Kitazawa, Takashi Kohno Journal of Neuroscience 15 (11), 7644-7652, 1995 | 180 | 1995 |
| Image forming apparatus capable of converting the resolution T Kohno, H Fujita, H Azumai, S Iwatsubo US Patent 5,764,816, 1998 | 63 | 1998 |
| An FPGA-based silicon neuronal network with selectable excitability silicon neurons J Li, Y Katori, T Kohno Frontiers in neuroscience 6, 183, 2012 | 44 | 2012 |
| A MOSFET-based model of a class 2 nerve membrane T Kohno, K Aihara IEEE transactions on neural networks 16 (3), 754-773, 2005 | 44 | 2005 |
| Development and applications of biomimetic neuronal networks toward brainmorphic artificial intelligence T Levi, T Nanami, A Tange, K Aihara, T Kohno IEEE Transactions on Circuits and Systems II: Express Briefs 65 (5), 577-581, 2018 | 37 | 2018 |
| Qualitative-modeling-based silicon neurons and their networks T Kohno, M Sekikawa, J Li, T Nanami, K Aihara Frontiers in NEUROSCIENCE 10, 273, 2016 | 37 | 2016 |
| Silicon neuron: digital hardware implementation of the quartic model F Grassia, T Levi, T Kohno, S Saïghi International Symposium on Artificial Life and Robotics 2014, 355-358, 2014 | 37 | 2014 |
| Simple cortical and thalamic neuron models for digital arithmetic circuit and its implementation T Nanami, T Kohno The 4th RIEC International Symposium on Brain Functions and Brain Computer, 2016 | 33 | 2016 |
| Digital hardware implementation of a stochastic two-dimensional neuron model F Grassia, T Kohno, T Levi Journal of Physiology-Paris 110 (4), 409-416, 2016 | 31 | 2016 |
| Scaling advantage of chaotic amplitude control for high-performance combinatorial optimization T Leleu, F Khoyratee, T Levi, R Hamerly, T Kohno, K Aihara Communications Physics 4 (1), 266, 2021 | 30 | 2021 |
| Digital spiking silicon neuron: concept and behaviors in GJ-coupled network T Kohno, K Aihara Proceedings of International Symposium on Artificial Life and Robotics 2007, 2007 | 28 | 2007 |
| A two-variable silicon neuron circuit based on the Izhikevich model N Mizoguchi, Y Nagamatsu, K Aihara, T Kohno International Symposium on Artificial Life and Robotics 2011, 338-341, 2011 | 26 | 2011 |
| Spike pattern recognition using artificial neuron and Spike-Timing-Dependent Plasticity implemented on a multi-core embedded platform F Grassia, T Levi, E Doukkali, T Kohno The 22nd International Symposium on Artificial Life and Robotics 2017, GS16-2, 2017 | 19 | 2017 |
| Mathematical-model-based design of silicon burst neurons T Kohno, K Aihara Neurocomputing 71 (7-9), 1619-1628, 2008 | 19 | 2008 |
| A Design Method for Analog and Digital Silicon Neurons -- Mathematical-Model-Based Method-- T Kohno, K Aihara BIOCOMP 2007, 81-82, 2007 | 18 | 2007 |
| Nonlinear retinal response modeling for future neuromorphic instrumentation JK Eshraghian, S Baek, T Levi, T Kohno, S Al-Sarawi, PHW Leong, K Cho, ... IEEE Instrumentation & Measurement Magazine 23 (1), 21-29, 2020 | 16 | 2020 |
| A three-variable ultralow-power analog silicon neuron circuit T Kohno, K Aihara 2016 International Symposium on Nonlinear Theory and Its Applications, 190-193, 2016 | 15 | 2016 |
| A qualitative-modeling-based low-power silicon nerve membrane T Kohno, K Aihara 2014 21st IEEE International Conference on Electronics, Circuits and Systems …, 2014 | 13 | 2014 |
| Silicon neuronal networks towards brain-morphic computers T Kohno, J Li, K Aihara Nonlinear Theory and Its Applications, IEICE 5 (3), 379-390, 2014 | 13 | 2014 |
| Elliptic and parabolic bursting in a digital silicon neuron model T Nanami, K Aihara, T Kohno 2016 International Symposium on Nonlinear Theory and Its Applications, 198-201, 2016 | 11 | 2016 |
Timothée LeviProfessor University of Bordeaux and Research Fellow of the University of Tokyo在 ims-bordeaux.fr 的电子邮件经过验证
