Online edition: ISSN 2432-6380
[TOP] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [Japanese] / [English]
NC2020-8
Classification of binary data based on binary neural networks
Kento Saka, Tomoyuki Togawa, Toshimichi Saito (HU)
pp. 1 - 4
NC2020-9
Dynamic binary neural networks with time-variant parameters
Takumi Suzuki, Shota Anzai, Toshimichi Saito (HU)
pp. 5 - 8
NC2020-10
Proposal for inhibition and addition function hypotheses of visual system in brainstem nuclei
-- Uniform description for neural circuits of smooth pursuit and saccadic eye movement based on Brain Information Flow description --
Yoshimasa Tawatsuji (Waseda Univ.), Naoya Arakawa, Hiroshi Yamakawa (WBAI)
pp. 9 - 13
NC2020-11
Constructing structured data on functional hypotheses of the brain
Mei Sasaki, Naoya Arakawa, Hiroshi Yamakawa (WBAI)
pp. 14 - 20
NC2020-12
Unsupervised learning based on local interactions between reservoir and readout neurons
Tstuki Kato, Satoshi Moriya, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato (Tohoku Univ.)
pp. 21 - 23
NC2020-13
Numerical experiments for iterative path-integral method under compound Poisson process
Hongrui Zhai, Jun Ohkubo (Saitama Univ.)
pp. 24 - 28
NC2020-14
Numerical research on effects of quantization in SNN learned by backpropagation
Yumi Watanabe, Jun Ohkubo (Saitama Univ.)
pp. 29 - 33
NC2020-15
Neural Activity in Hippocampal CA1 According to Behavioral Duration in a Task
Nobuyoshi Kadoya (Yamaguchi Univ.), Akiko Saiki-Ishikawa (Tamagawa Univ./Northwestern Univ.), Yutaka Sakai (Tamagawa Univ.), Yoshikazu Isomura (Tokyo Medical and Dental Univ./Tamagawa Univ.), Toshikazu Samura (Yamaguchi Univ./Tamagawa Univ.)
pp. 34 - 37
NC2020-16
Integrated information of consciousness for networks with two small-sized loops
Tadaaki Hosaka (TUS)
pp. 38 - 43
NC2020-17
Effort-dependent emergence of uniform and diverse muscle activity features in skilled pitching
Tsubasa Hashimoto, Ken Takiyama (TUAT), Takeshi Miki, Hirohumi Kobayashi (UTokyo), Daiki Nasu (NTT), Tetsuya Ijiri, Masumi Kuwata (UTokyo), Makio Kashino (NTT), Kimitaka Nakazawa (UTokyo)
pp. 44 - 49
NC2020-18
statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks
Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.)
pp. 50 - 55
NC2020-19
Accuracy Improvement of Deep Metric Learning by using Dynamic Scaling Parameter in Softmax Function
Keiju Sato (UTokyo), Tsutomu Ikegami (AIST), Keisuke Fujimoto (ABEJA), Tomohiro Kudoh (UTokyo)
pp. 56 - 61
NC2020-20
sequential information processing by a neural network with multiple timescales
Tomoki Kurikawa (Kansai Medical Univ.)
pp. 62 - 65
NC2020-21
The effect of epistemic curiosity on improving the game
Tomohiko Kimura (NAIST), Shogo Kajimura (KIT)
pp. 66 - 71
NC2020-22
Fusion of feature extraction and reinforcement learning for Dynamic Q-Network
Taishi Komatsu, Yukari Yamauchi (NU)
pp. 72 - 76
NC2020-23
A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate
Tetsuya Sato, Yukari Yamauti (Nihon Univ.)
pp. 77 - 82
NC2020-24
Solving the Parity Problem by Particle Multi-Swarm Optimization
Hiroshi Sho (Kyutech)
pp. 83 - 88
NC2020-25
Detecting task-relevant spatiotemporal modules and their adaptation-dependent modulations
Masato Inoue, Daisuke Furuki, Ken Takiyama (TUAT)
pp. 89 - 94
NC2020-26
A Study on the Effects of Neurofeedback Training for Motor Imagery
-- A New Neurofeedback based on Riemannian Geometry --
Ruopeng Wang (Nagoya Univ.), Tomohiro Yoshikawa (SUMS)
pp. 95 - 99
NC2020-27
Hyperbolic Space Embedding for Open Set Recognition
Shota Tatarai (Senshu Univ.), Yuta Ashihara (Nihon Univ/Glia Computing Co.,Ltd.), Kenji Aoki (Glia Computing Co.,Ltd.), Masahiko Osaawa (Nihon Univ./Senshu Univ.)
pp. 100 - 105
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.