Yutaka Sakai

Yoshiya Yamaguchi, Yutaka Sakai, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

1P1-C38 Speedup of autonomous transport system based on IDC

Yutaka Sakai, Takeo Oomichi, Tatsuru Nagai, 2006 .

Synchronous Firing and Higher-Order Interactions in Neuron Pool

Yutaka Sakai, Si Wu, Shun-ichi Amari, 2003, Neural Computation.

Computational algorithms and neuronal network models underlying decision processes

Yutaka Sakai, Tomoki Fukai, Hiroshi Okamoto, 2006, Neural Networks.

Different Responses of Two Types of Class II Neurons for Fluctuated Inputs

Yutaka Sakai, Tohru Ikeguchi, Shuji Yoshizawa, 2006, ICCSA.

A COMPOSITE QUEUE WITH VACATION/SET-UP/CLOSE-DOWN TIMES FOR SVCC IN IP OVER ATM NETWORKS

Yutaka Sakai, Yutaka Takahashi, Toshiharu Hasegawa, 1998 .

The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors

Yutaka Sakai, Tomoki Fukai, T. Fukai, 2008, Neural Computation.

A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements

Yutaka Sakai, Ken Takiyama, 2017, Neural Networks.

When Does Reward Maximization Lead to Matching Law?

Yutaka Sakai, Tomoki Fukai, T. Fukai, 2008, PloS one.

Ensemble spiking activities in rat motor cortex during externally- and internally-initiated movements

Yutaka Sakai, Rie Kimura, Yoshikazu Isomura, 2011, Neuroscience Research.

Dynamic Brain Platform

Yutaka Sakai, Minoru Tsukada, Shiro Usui, 2009, Neuroscience Research.

Spiking mechanisms of cortical neurons

Yutaka Sakai, Shigeru Shinomoto, S. Shinomoto, 1998 .

Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons

Yutaka Sakai, Shigeru Shinomoto, Shintaro Funahashi, 1999, Neural Networks.

Neuronal integration mechanisms have little effect on spike auto-correlations of cortical neurons

Yutaka Sakai, Y. Sakai, 2001, Neural Networks.

BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold

Yutaka Sakai, Hiroki Kurashige, Y. Sakai, 2006, ICONIP.

The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex

Yutaka Sakai, Shigeru Shinomoto, Shintaro Funahashi, 1999, Neural Computation.

Reinforcement learning for discounted values often loses the goal in the application to animal learning

Yoshiya Yamaguchi, Yutaka Sakai, Y. Sakai, 2012, Neural Networks.

A new classification of neuron models for random inputs on bifurcation structures

Yutaka Sakai, Tohru Ikeguchi, Shuji Yoshizawa, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Inter-spike Interval Statistics of Cortical Neurons

Yutaka Sakai, Shigeru Shinomoto, S. Shinomoto, 1999, IWANN.

Yutaka Sakai, Sonja Grün, Rie Kimura, 2016, The Journal of Neuroscience.

Distinct Laterality in Forelimb-Movement Representations of Rat Primary and Secondary Motor Cortical Neurons with Intratelencephalic and Pyramidal Tract Projections

Yutaka Sakai, Yoshikazu Isomura, Akiko Saiki, 2017, The Journal of Neuroscience.

Different Modulation of Common Motor Information in Rat Primary and Secondary Motor Cortices

Yutaka Sakai, Rie Kimura, Yoshikazu Isomura, 2014, PloS one.

BvP Neurons Exhibit a Larger Variety in Statistics of Inter-Spike Intervals than LIF Neurons

Yutaka Sakai, S. Yoshizawa, Tohru Ikeguchi, 2006 .

Recording site dependence of the neuronal spiking statistics.

Yutaka Sakai, Hiroshi Ohno, Shigeru Shinomoto, 2002, Bio Systems.

Reinforcing operandum: rapid and reliable learning of skilled forelimb movements by head-fixed rodents.

Yutaka Sakai, Rie Kimura, Yoshikazu Isomura, 2012, Journal of neurophysiology.