Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
NC2022-32
Fabrication of artificial neuronal networks for analyzing neuronal ensemble functions
Hakuba Murota, Hideaki Yamamoto, Takuma Sumi, Shigeo Sato, Ayumi Hirano (Tohoku Univ.)
pp. 1 - 4
NC2022-33
Analog circuit implementation of spiking neural networks and its application to time-series information processing
Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato, Yoshihiko Horio (Tohoku Univ)
p. 5
NC2022-34
Improvement of AdaBoost algorithm for spiking neural networks
Masaya Kawaguchi, Jun Ohkubo (Saitama Univ.)
pp. 6 - 10
NC2022-35
State estimation for continuous-time stochastic systems by holonomic gradient method
Riku Yamamoto, Jun Ohkubo (Saitama Univ.)
pp. 11 - 15
NC2022-36
Tuning properties to Second-order grating in Deep Convolutional Neural Network (DCNN)
Jamal Shah (Iwate Prefectural Univ.), Yoshiyuki R. Shiraishi (HobHop, Inc.), Tomoyuki Naito (Osaka Univ.), Takahisa M. Sanada (Iwate Prefectural Univ.)
pp. 16 - 19
NC2022-37
Isotropic Inference and Modularity in Neural Networks
Yuma Onishi, Tomoaki Imajo, Yusuke Matsubara, Koiti Hasida (UTokyo)
pp. 20 - 23
NC2022-38
On optimization of periodic orbits in permutation binary neural networks
Kento Saka, Toshimichi Saito (HU)
pp. 24 - 27
NC2022-39
On evolutionary bi-objective optimization in binary associative memories
Kazuma Morishita, Toshimichi Saito (HU)
pp. 28 - 31
NC2022-40
An approximation algorithm for computing integrated information based on Gaussian process regression
Tadaaki Hosaka (TUS)
pp. 32 - 37
NC2022-41
A hypothesis of function considering reciprocal inhibitory mechanisms in the amygdala that enable extinction learning and relapse in fear conditioning.
Tatsuya Miyamoto, Yoshimasa Tawatsuji (Waseda Univ.), Hiroshi Yamakawa (The Univ. of Tokyo)
pp. 38 - 43
NC2022-42
A dynamic state-space reinforcement learning model explaining functional differentiation of higher motor areas in the cerebral cortex
Naoki Tamura, Hajime Mushiake (Tohoku Univ), Kazuhiro Sakamoto (TMPU)
pp. 44 - 48
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.