| 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 | 39 | 2018 |
| Qualitative-modeling-based silicon neurons and their networks T Kohno, M Sekikawa, J Li, T Nanami, K Aihara Frontiers in NEUROSCIENCE 10, 190326, 2016 | 37 | 2016 |
| Simple cortical and thalamic neuron models for digital arithmetic circuit implementation T Nanami, T Kohno Frontiers in neuroscience 10, 186196, 2016 | 32 | 2016 |
| 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 | 10 | 2016 |
| A parameter optimization method for digital spiking silicon neuron model T Nanami, F Grassia, T Kohno Journal of Robotics, Networking and Artificial Life 4 (1), 97-101, 2017 | 7 | 2017 |
| A metaheuristic approach for parameter fitting in digital spiking silicon neuron model T Nanami, F Grassia, T Kohno Journal of Robotics, Networking and Artificial Life 5 (1), 32-36, 2018 | 6 | 2018 |
| An FPGA-based cortical and thalamic silicon neuronal network. T Nanami, T Kohno J. Robotics Netw. Artif. Life 2 (4), 238-242, 2016 | 5 | 2016 |
| Modeling Primary Neurons in Drosophila Auditory System T Nanami, A Kamikouchi, T Kohno The 2018 International Symposium on Nonlinear Theory and Its Applications …, 0 | 3 | |
| Piecewise quadratic neuron model: A tool for close-to-biology spiking neuronal network simulation on dedicated hardware T Nanami, T Kohno Frontiers in Neuroscience 16, 1069133, 2023 | 2 | 2023 |
| Cortex and thalamic neuron models for digital arithmetic circuit T NANAMI, T KONO 生産研究 67 (3), 297-300, 2015 | 1 | 2015 |
| A lightweight data-driven spiking neural network model of Drosophila olfactory nervous system with dedicated hardware support T Nanami, D Yamada, M Someya, T Hige, H Kazama, T Kohno bioRxiv, 2023.10. 12.560618, 2023 | | 2023 |
| Improving Performance of Spike Pattern Detection Using Close-to-Biology Spiking Neuronal Network T Nanami, T Kohno Journal of Robotics, Networking and Artificial Life 10 (1), 66-70, 2023 | | 2023 |
| Spike pattern detection with close-to-biology spiking neuronal network T Nanami, T Kohno | | 2023 |
| A parameter tuning method for PQN model D Sakai, T Nanami, T Kohno | | 2022 |
| A Parameter Fitting Method for Digital Spiking Silicon Neuron Model T NANAMI SEISAN KENKYU 72 (2), 103-109, 2020 | | 2020 |
| Spike pattern recognition using biomimetic Spiking Neural Network T Nanami, F Grassia, M Blanco, K Aihara, T Kohno, T Levi SWARM 2017, 2017 | | 2017 |
| デジタル演算回路実装に適した大脳皮質及び視床の神経細胞モデル 名波拓哉， 河野崇 生産研究 67 (3), 297-300, 2015 | | 2015 |
