Yoichi Okabe

19 papers A* 1B 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2007 J jnl
Self-Organization through Spike-Timing Dependent Plasticity Using localized Synfire-Chain Patterns.
Neural Process. Lett.
Toshio Akimitsu, Yoichi Okabe, Akira Hirose
2006 J jnl
Effect of Long-delay Connections to Realize a Self-Organization of Firing Patterns that Vary Smoothly in Spасе.
Res. Comput. Sci.
Akira Hirose, Toshio Akimitsu, Yoichi Okabe
2006 — conf
Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns.
ICONIP (1)
Toshio Akimitsu, Akira Hirose, Yoichi Okabe
2004 B conf
Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model.
ICONIP
Mohammad Tanvir Islam, Yoichi Okabe
2004 J jnl
On the Computational Power of Max-Min Propagation Neural Networks.
Neural Process. Lett.
Pablo A. Estévez, Yoichi Okabe
2003 — conf
A brief discussion on moderatism based local gradient learning rules.
ISSPA (2)
Mohammad Tanvir Islam, Yoichi Okabe
2002 J jnl
Active perception and recognition learning system based on Actor-Q architecture.
Syst. Comput. Jpn.
Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe
2001 A* conf
Actor-Q Based Active Perception Learning System.
ICRA
Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe
2000 J jnl
Fast combinatorial optimization with parallel digital computers.
IEEE Trans. Neural Networks Learn. Syst.
Hideki Kakeya, Yoichi Okabe
1999 J jnl
Selective retrieval of memory and concept sequences through neuro-windows.
IEEE Trans. Neural Networks
Hideki Kakeya, Yoichi Okabe
1998 — conf
Moderatism: new concept for self-organization of neural networks.
KES (3)
Yoichi Okabe, Takashi Kouhara, Hideki Hayashi, Atsushi Narusawa, Manabu Kitagawa, Mitsuo Miyao
1997 J jnl
A robust reconstruction of sparse biomagnetic sources.
IEEE Trans. Biomed. Eng.
Kentaro Matsuura, Yoichi Okabe
1997 — conf
Capacity expansion and concept formation in sequential associative memory.
ICNN
Hideki Kakeya, Yoichi Okabe
1997 — conf
Parallel and synchronous search for combinatory quasi-optimum solutions.
ICNN
Hideki Kakeya, Yoichi Okabe
1997 — conf
Reinforcement learning when visual sensory signals are directly given as inputs.
ICNN
Katsunari Shibata, Yoichi Okabe
1995 J jnl
A neural network-like critic for reinforcement learning.
Neural Networks
Hiroshi Yamakawa, Yoichi Okabe
1995 — conf
An analysis of coincidence detector networks.
ICNN
Natsuhiro Ichinose, Kazuyuki Aihara, Yoichi Okabe
1995 J jnl
Selective minimum-norm solution of the biomagnetic inverse problem.
IEEE Trans. Biomed. Eng.
Kanta Matsuura, Yoichi Okabe
1995 — conf
Some learning models of visual system based on local sensory signals integration learning.
ICNN
Katsunari Shibata, Yoichi Okabe