next up previous contents index
Next: 索引 Up: スパイク統計モデル入門 Previous: 補遺 統計的推測   目次   索引


Barbieri et al., 2001
Barbieri, R., Quirk, M. C., Frank, L. M., Wilson, M. A., and Brown, E. N. (2001).
Construction and analysis of non-poisson stimulus-response models of neural spiking activity.
J Neurosci Methods, 105(1):25-37.

Berman, 1981
Berman, M. (1981).
Inhomogeneous and modulated gamma processes.
Biometrika, 68(1):143-152.

Brown et al., 2001
Brown, E. N., Barbieri, R., Ventura, V., Kass, R. E., and Frank, L. M. (2001).
The time-rescaling theorem and its application to neural spike train data analysis.
Neural Comput, 14(2):325-346.

Cox, 1962
Cox, R. D. (1962).
Renewal Theory.
John Wiley & Sons Inc, London.

Daley and Vere-Jones, 1988
Daley, D. and Vere-Jones, D. (1988).
An Introduction to the Theory of Point Processes.
Springer-Verlag, New York, USA.

Heyman and Sobel, 1990
Heyman, D. and Sobel, M., editors (1990).
Stochastic Models, volume 2 of Handbooks in Operations Research and Management Science.
Elsevier Science Publishers.

Johnson, 1996
Johnson, D. H. (1996).
Point process models of single-neuron discharges.
Journal of Computational Neuroscience, 3(4):275-299.

Ogata, 1981
Ogata, Y. (1981).
On lewis' simulation method for point processes.

Shimazaki and Shinomoto, 2007
Shimazaki, H. and Shinomoto, S. (2007).
A method for selecting the bin size of a time histogram.
Neural Comput, 19(6):1503-1527.

Shimazaki and Shinomoto, 2010
Shimazaki, H. and Shinomoto, S. (2010).
Kernel bandwidth optimization in spike rate estimation.
J Comput Neurosci, 29:171-182.

Snyder, 1975
Snyder, D. (1975).
Random Point Processes.
John Wiley & Sons, Inc., New York.

© 2007 - 2015 H. Shimazaki, Ph.D.