Yutaka Sakai

22 papers C 1Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Goal-oriented inference of environment from redundant observations.
Neural Networks
Kazuki Takahashi, Tomoki Fukai, Yutaka Sakai, Takashi Takekawa
2024 J jnl
Inferring source of learning by chimpanzees in cognitive tasks using reinforcement learning theory.
Artif. Life Robotics
Satoshi Hirata, Yutaka Sakai
2023 J jnl
Goal-oriented inference of environment from redundant observations.
CoRR
Kazuki Takahashi, Tomoki Fukai, Yutaka Sakai, Takashi Takekawa
2017 J jnl
A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements.
Neural Networks
Ken Takiyama, Yutaka Sakai
2016 — conf
Roles of Gap Junctions in Organizing Traveling Waves in a Hippocampal CA3 Network Model.
ICONIP (1)
Toshikazu Samura, Yutaka Sakai, Hatsuo Hayashi, Takeshi Aihara
2015 J jnl
Immediate return preference emerged from a synaptic learning rule for return maximization.
Neural Networks
Yoshiya Yamaguchi, Takeshi Aihara, Yutaka Sakai
2013 — conf
Distance- and Direction-Dependent Synaptic Weight Distributions for Directional Spike Propagation in a Recurrent Network: Self-actuated Shutdown of Synaptic Plasticity.
ICONIP (3)
Toshikazu Samura, Yutaka Sakai, Hatsuo Hayashi, Takeshi Aihara
2012 — conf
A theoretical approach to animal's impulsive preference: Impulsive choice behavior is interpreteded as a result of reward-maximization failure.
SCIS&ISIS
Yoshiya Yamaguchi, Yutaka Sakai
2012 J jnl
Reinforcement learning for discounted values often loses the goal in the application to animal learning.
Neural Networks
Yoshiya Yamaguchi, Yutaka Sakai
2011 J jnl
Bootstrap Node-Centered Proximity Identifier Selection for Structured Overlays in Private Networks.
IEICE Trans. Commun.
Masashi Yoshida, Koichi Yagishita, Yusuke Dohi, Kumiko Kobayashi, Yutaka Sakai, Shigeyuki Asami
2009 — conf
Strange Responses to Fluctuating Inputs in the Hindmarsh-Rose Neurons.
ICONIP (2)
Ryosuke Hosaka, Yutaka Sakai, Kazuyuki Aihara
2008 J jnl
The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors.
Neural Comput.
Yutaka Sakai, Tomoki Fukai
2006 C conf
A new classification of neuron models for random inputs on bifurcation structures.
ISCAS
Ryosuke Hosaka, Tohru Ikeguchi, Yutaka Sakai, Shuji Yoshizawa
2006 — conf
BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold.
ICONIP (1)
Hiroki Kurashige, Yutaka Sakai
2006 J jnl
Computational algorithms and neuronal network models underlying decision processes.
Neural Networks
Yutaka Sakai, Hiroshi Okamoto, Tomoki Fukai
2006 — conf
Different Responses of Two Types of Class II Neurons for Fluctuated Inputs.
ICCSA (1)
Ryosuke Hosaka, Yutaka Sakai, Tohru Ikeguchi, Shuji Yoshizawa
2004 J jnl
Synaptic regulation on various STDP rules.
Neurocomputing
Yutaka Sakai, Kaoru Nakano, Shuji Yoshizawa
2003 J jnl
Synchronous Firing and Higher-Order Interactions in Neuron Pool.
Neural Comput.
Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai
2001 J jnl
Neuronal integration mechanisms have little effect on spike auto-correlations of cortical neurons.
Neural Networks
Yutaka Sakai
1999 — conf
Inter-spike Interval Statistics of Cortical Neurons.
IWANN (1)
Shigeru Shinomoto, Yutaka Sakai
1999 J jnl
Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons.
Neural Networks
Yutaka Sakai, Shintaro Funahashi, Shigeru Shinomoto
1999 J jnl
The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex.
Neural Comput.
Shigeru Shinomoto, Yutaka Sakai, Shintaro Funahashi