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ORCIDYoichi Okabe
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2000 – 2009
- 2007
[j8]Toshio Akimitsu, Yoichi Okabe, Akira Hirose:
Self-Organization through Spike-Timing Dependent Plasticity Using localized Synfire-Chain Patterns. Neural Process. Lett. 25(1): 79-89 (2007)- 2006
- [c10]Toshio Akimitsu, Akira Hirose, Yoichi Okabe:
Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns. ICONIP (1) 2006: 49-58 - 2004
- [j7]Pablo A. Estévez
, Yoichi Okabe:
On the Computational Power of Max-Min Propagation Neural Networks. Neural Process. Lett. 19(1): 11-23 (2004) - [c9]Mohammad Tanvir Islam, Yoichi Okabe:
Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model. ICONIP 2004: 537-542 - 2003
- [c8]Mohammad Tanvir Islam, Yoichi Okabe:
A brief discussion on moderatism based local gradient learning rules. ISSPA (2) 2003: 239-242 - 2002
- [j6]Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe:
Active perception and recognition learning system based on Actor-Q architecture. Syst. Comput. Jpn. 33(14): 12-22 (2002) - 2001
- [c7]Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe:
Actor-Q Based Active Perception Learning System. ICRA 2001: 1000-1005 - 2000
- [j5]Hideki Kakeya, Yoichi Okabe:
Fast combinatorial optimization with parallel digital computers. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1323-1331 (2000)
1990 – 1999
- 1999
- [j4]Hideki Kakeya, Yoichi Okabe:
Selective retrieval of memory and concept sequences through neuro-windows. IEEE Trans. Neural Networks 10(1): 182-185 (1999) - 1998
- [c6]Yoichi Okabe, Takashi Kouhara, Hideki Hayashi, Atsushi Narusawa, Manabu Kitagawa, Mitsuo Miyao:
Moderatism: new concept for self-organization of neural networks. KES (3) 1998: 246-249 - 1997
- [j3]Kentaro Matsuura, Yoichi Okabe:
A robust reconstruction of sparse biomagnetic sources. IEEE Trans. Biomed. Eng. 44(8): 720-726 (1997) - [c5]Hideki Kakeya, Yoichi Okabe:
Parallel and synchronous search for combinatory quasi-optimum solutions. ICNN 1997: 1284-1288 - [c4]Hideki Kakeya, Yoichi Okabe:
Capacity expansion and concept formation in sequential associative memory. ICNN 1997: 1332-1337 - [c3]Katsunari Shibata, Yoichi Okabe:
Reinforcement learning when visual sensory signals are directly given as inputs. ICNN 1997: 1716-1720 - 1995
- [j2]Hiroshi Yamakawa, Yoichi Okabe:
A neural network-like critic for reinforcement learning. Neural Networks 8(3): 363-373 (1995) - [j1]Kanta Matsuura, Yoichi Okabe:
Selective minimum-norm solution of the biomagnetic inverse problem. IEEE Trans. Biomed. Eng. 42(6): 608-615 (1995) - [c2]Natsuhiro Ichinose, Kazuyuki Aihara, Yoichi Okabe:
An analysis of coincidence detector networks. ICNN 1995: 1525-1529 - [c1]Katsunari Shibata, Yoichi Okabe:
Some learning models of visual system based on local sensory signals integration learning. ICNN 1995: 1986-1990
Coauthor Index
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