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Yutaka Sakai
2010 – today
- 2012
[j9]Yoshiya Yamaguchi, Yutaka Sakai: Reinforcement learning for discounted values often loses the goal in the application to animal learning. Neural Networks 35: 88-91 (2012)- 2011
- [j8]Masashi Yoshida, Koichi Yagishita, Yusuke Dohi, Kumiko Kobayashi, Yutaka Sakai, Shigeyuki Asami: Bootstrap Node-Centered Proximity Identifier Selection for Structured Overlays in Private Networks. IEICE Transactions 94-B(3): 813-817 (2011)
2000 – 2009
- 2009
- [c5]Ryosuke Hosaka, Yutaka Sakai, Kazuyuki Aihara: Strange Responses to Fluctuating Inputs in the Hindmarsh-Rose Neurons. ICONIP (2) 2009: 401-408
- 2008
- [j7]Yutaka Sakai, Tomoki Fukai: The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors. Neural Computation 20(1): 227-251 (2008)
- 2006
- [j6]Yutaka Sakai, Hiroshi Okamoto, Tomoki Fukai: Computational algorithms and neuronal network models underlying decision processes. Neural Networks 19(8): 1091-1105 (2006)
- [c4]Ryosuke Hosaka, Yutaka Sakai, Tohru Ikeguchi, Shuji Yoshizawa: Different Responses of Two Types of Class II Neurons for Fluctuated Inputs. ICCSA (1) 2006: 596-604
- [c3]Hiroki Kurashige, Yutaka Sakai: BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold. ICONIP (1) 2006: 19-29
- [c2]Ryosuke Hosaka, Tohru Ikeguchi, Yutaka Sakai, Shuji Yoshizawa: A new classification of neuron models for random inputs on bifurcation structures. ISCAS 2006
- 2004
- [j5]Yutaka Sakai, Kaoru Nakano, Shuji Yoshizawa: Synaptic regulation on various STDP rules. Neurocomputing 58-60: 351-357 (2004)
- 2003
- [j4]Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai: Synchronous Firing and Higher-Order Interactions in Neuron Pool. Neural Computation 15(1): 127-142 (2003)
- 2001
- [j3]Yutaka Sakai: Neuronal integration mechanisms have little effect on spike auto-correlations of cortical neurons. Neural Networks 14(9): 1145-1152 (2001)
1990 – 1999
- 1999
- [j2]Shigeru Shinomoto, Yutaka Sakai, Shintaro Funahashi: The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex. Neural Computation 11(4): 935-951 (1999)
- [j1]Yutaka Sakai, Shintaro Funahashi, Shigeru Shinomoto: Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons. Neural Networks 12(7-8): 1181-1190 (1999)
- [c1]Shigeru Shinomoto, Yutaka Sakai: Inter-spike Interval Statistics of Cortical Neurons. IWANN (1) 1999: 171-179
Coauthor Index
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last updated on 2013-04-14 18:58 CEST by the dblp team