Hideaki Shimazaki

Massachusetts Institute of Technology, Cambridge, MA, United States 
Statistical analysis of neuronal data
"Hideaki Shimazaki"
Mean distance: 13.94 (cluster 17)


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Ernst Niebur grad student 2000-2003 Johns Hopkins
Shigeru Shinomoto grad student 2004-2007 Kyoto University
Emery Brown post-doc 2009- MIT
Sonja Grün post-doc 2007-2009 RIKEN BSI


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Shun-ichi Amari collaborator MIT
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Kass RE, Amari SI, Arai K, et al. (2018) Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application. 5: 183-214
Shomali SR, Ahmadabadi MN, Shimazaki H, et al. (2017) How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study. Journal of Computational Neuroscience
MaBouDi H, Shimazaki H, Giurfa M, et al. (2017) Olfactory learning without the mushroom bodies: Spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied complexities. Plos Computational Biology. 13: e1005551
Donner C, Obermayer K, Shimazaki H. (2017) Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations. Plos Computational Biology. 13: e1005309
Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54
Mochizuki Y, Onaga T, Shimazaki H, et al. (2016) Similarity in Neuronal Firing Regimes across Mammalian Species. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 5736-47
MaBouDi H, Shimazaki H, Amari SI, et al. (2015) Representation of higher-order statistical structures in natural scenes via spatial phase distributions. Vision Research
Shimazaki H. (2013) Single-trial estimation of stimulus and spike-history effects on time-varying ensemble spiking activity of multiple neurons: A simulation study Journal of Physics: Conference Series. 473
Shimazaki H, Amari S, Brown EN, et al. (2012) State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. Plos Computational Biology. 8: e1002385
Shimazaki H, Shinomoto S. (2010) Kernel bandwidth optimization in spike rate estimation. Journal of Computational Neuroscience. 29: 171-82
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