Shinomoto S - Search Results

1

Kernel bandwidth optimization in spike rate estimation.

Shimazaki H, Shinomoto S. Shimazaki H, et al. Among authors: shinomoto s. J Comput Neurosci. 2010 Aug;29(1-2):171-182. doi: 10.1007/s10827-009-0180-4. Epub 2009 Aug 5. J Comput Neurosci. 2010. PMID: 19655238 Free PMC article.

2

The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex.

Shinomoto S, Sakai Y, Funahashi S. Shinomoto S, et al. Neural Comput. 1999 May 15;11(4):935-51. doi: 10.1162/089976699300016511. Neural Comput. 1999. PMID: 10226190

3

Modeling spiking behavior of neurons with time-dependent Poisson processes.

Shinomoto S, Tsubo Y. Shinomoto S, et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Oct;64(4 Pt 1):041910. doi: 10.1103/PhysRevE.64.041910. Epub 2001 Sep 21. Phys Rev E Stat Nonlin Soft Matter Phys. 2001. PMID: 11690055

4

New classification scheme of cortical sites with the neuronal spiking characteristics.

Shinomoto S, Shima K, Tanji J. Shinomoto S, et al. Neural Netw. 2002 Dec;15(10):1165-9. doi: 10.1016/s0893-6080(02)00093-x. Neural Netw. 2002. PMID: 12425435

5

Recording site dependence of the neuronal spiking statistics.

Shinomoto S, Sakai Y, Ohno H. Shinomoto S, et al. Biosystems. 2002 Oct-Dec;67(1-3):259-63. doi: 10.1016/s0303-2647(02)00083-7. Biosystems. 2002. PMID: 12459306

6

Differences in spiking patterns among cortical neurons.

Shinomoto S, Shima K, Tanji J. Shinomoto S, et al. Neural Comput. 2003 Dec;15(12):2823-42. doi: 10.1162/089976603322518759. Neural Comput. 2003. PMID: 14629869

7

A measure of local variation of inter-spike intervals.

Shinomoto S, Miura K, Koyama S. Shinomoto S, et al. Biosystems. 2005 Jan-Mar;79(1-3):67-72. doi: 10.1016/j.biosystems.2004.09.023. Biosystems. 2005. PMID: 15649590

8

Regional and laminar differences in in vivo firing patterns of primate cortical neurons.

Shinomoto S, Miyazaki Y, Tamura H, Fujita I. Shinomoto S, et al. J Neurophysiol. 2005 Jul;94(1):567-75. doi: 10.1152/jn.00896.2004. Epub 2005 Mar 9. J Neurophysiol. 2005. PMID: 15758054

9

Inference of intrinsic spiking irregularity based on the Kullback-Leibler information.

Koyama S, Shinomoto S. Koyama S, et al. Among authors: shinomoto s. Biosystems. 2007 May-Jun;89(1-3):69-73. doi: 10.1016/j.biosystems.2006.05.012. Epub 2006 Nov 11. Biosystems. 2007. PMID: 17321039

We have recently established an empirical Bayes method that extracts both the intrinsic irregularity and the time-dependent rate from a spike sequence [Koyama, S., Shinomoto, S., 2005. Empirical Bayes interpretations of random point events. ...

We have recently established an empirical Bayes method that extracts both the intrinsic irregularity and the time-dependent rate from a spik …

10

MST neurons code for visual motion in space independent of pursuit eye movements.

Inaba N, Shinomoto S, Yamane S, Takemura A, Kawano K. Inaba N, et al. Among authors: shinomoto s. J Neurophysiol. 2007 May;97(5):3473-83. doi: 10.1152/jn.01054.2006. Epub 2007 Feb 28. J Neurophysiol. 2007. PMID: 17329625

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