Yutaka Sakai

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 5

Top Topics

Possibilistic Networks

Authoring Environment

Learning Theories

Top Venues

Neural Networks

Artif. Life Robotics

Publications

Kazuki Takahashi, Tomoki Fukai, Yutaka Sakai, Takashi Takekawa
Goal-oriented inference of environment from redundant observations. Neural Networks 174 (2024)
Satoshi Hirata, Yutaka Sakai
Inferring source of learning by chimpanzees in cognitive tasks using reinforcement learning theory. Artif. Life Robotics 29 (3) (2024)
Kazuki Takahashi, Tomoki Fukai, Yutaka Sakai, Takashi Takekawa
Goal-oriented inference of environment from redundant observations. CoRR (2023)
Ken Takiyama, Yutaka Sakai
A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements. Neural Networks 86 (2017)
Toshikazu Samura, Yutaka Sakai, Hatsuo Hayashi, Takeshi Aihara
Roles of Gap Junctions in Organizing Traveling Waves in a Hippocampal CA3 Network Model. ICONIP (1) (2016)
Yoshiya Yamaguchi, Takeshi Aihara, Yutaka Sakai
Immediate return preference emerged from a synaptic learning rule for return maximization. Neural Networks 62 (2015)
Toshikazu Samura, Yutaka Sakai, Hatsuo Hayashi, Takeshi Aihara
Distance- and Direction-Dependent Synaptic Weight Distributions for Directional Spike Propagation in a Recurrent Network: Self-actuated Shutdown of Synaptic Plasticity. ICONIP (3) (2013)
Yoshiya Yamaguchi, Yutaka Sakai
A theoretical approach to animal's impulsive preference: Impulsive choice behavior is interpreteded as a result of reward-maximization failure. SCIS&ISIS (2012)
Yoshiya Yamaguchi, Yutaka Sakai
Reinforcement learning for discounted values often loses the goal in the application to animal learning. Neural Networks 35 (2012)
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 Trans. Commun. (3) (2011)
Ryosuke Hosaka, Yutaka Sakai, Kazuyuki Aihara
Strange Responses to Fluctuating Inputs in the Hindmarsh-Rose Neurons. ICONIP (2) (2009)
Yutaka Sakai, Tomoki Fukai
The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors. Neural Comput. 20 (1) (2008)
Ryosuke Hosaka, Tohru Ikeguchi, Yutaka Sakai, Shuji Yoshizawa
A new classification of neuron models for random inputs on bifurcation structures. ISCAS (2006)
Hiroki Kurashige, Yutaka Sakai
BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold. ICONIP (1) (2006)
Ryosuke Hosaka, Yutaka Sakai, Tohru Ikeguchi, Shuji Yoshizawa
Different Responses of Two Types of Class II Neurons for Fluctuated Inputs. ICCSA (1) (2006)
Yutaka Sakai, Hiroshi Okamoto, Tomoki Fukai
Computational algorithms and neuronal network models underlying decision processes. Neural Networks 19 (8) (2006)
Yutaka Sakai, Kaoru Nakano, Shuji Yoshizawa
Synaptic regulation on various STDP rules. Neurocomputing (2004)
Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai
Synchronous Firing and Higher-Order Interactions in Neuron Pool. Neural Comput. 15 (1) (2003)
Yutaka Sakai
Neuronal integration mechanisms have little effect on spike auto-correlations of cortical neurons. Neural Networks 14 (9) (2001)
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) (1999)
Shigeru Shinomoto, Yutaka Sakai, Shintaro Funahashi
The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex. Neural Comput. 11 (4) (1999)
Shigeru Shinomoto, Yutaka Sakai
Inter-spike Interval Statistics of Cortical Neurons. IWANN (1) (1999)