TY - JOUR
T1 - A cumulative sum test for a peri-stimulus time histogram using the Monte Carlo method
AU - Ushiba, Junichi
AU - Tomita, Yutaka
AU - Masakado, Yoshihisa
AU - Komune, Yoko
N1 - Funding Information:
We would like to express our grateful acknowledgements to Associate Professor Akira Naito and Professor Masaomi Shindo for allowing us to use their original data, and for their careful reading of this draft. This work was supported in part by the Takeda Science Foundation in Japan.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2002/8/30
Y1 - 2002/8/30
N2 - We have established a cumulative sum (CUSUM) test for a peri-stimulus time histogram (PSTH) for the case where a conditioning stimulus is delivered at a fixed interval after previous discharge of a motor unit. (We refer to this kind of PSTH as an 'arranged PSTH'). Expectations of the firing probability after the conditioning stimulus vary among the bins in this arranged PSTH, while the expectations among the bins are all the same in the original PSTH; thus, we could not apply conventional tests for statistical analysis. We, therefore, propose a novel CUSUM test that uses the Monte Carlo method. With this method, the range of the statistical scattering noise on a CUSUM is computationally found by simulating the statistical process in order to calculate the confidence interval. We verified this CUSUM test using both simulated and actual experiments. This paper presents the procedure for performing this new method, along with an example of its application.
AB - We have established a cumulative sum (CUSUM) test for a peri-stimulus time histogram (PSTH) for the case where a conditioning stimulus is delivered at a fixed interval after previous discharge of a motor unit. (We refer to this kind of PSTH as an 'arranged PSTH'). Expectations of the firing probability after the conditioning stimulus vary among the bins in this arranged PSTH, while the expectations among the bins are all the same in the original PSTH; thus, we could not apply conventional tests for statistical analysis. We, therefore, propose a novel CUSUM test that uses the Monte Carlo method. With this method, the range of the statistical scattering noise on a CUSUM is computationally found by simulating the statistical process in order to calculate the confidence interval. We verified this CUSUM test using both simulated and actual experiments. This paper presents the procedure for performing this new method, along with an example of its application.
KW - CUSUM test
KW - Electro-physiology
KW - Monte Carlo method
KW - Moving average method
KW - Peri-stimulus time histogram
KW - Statistics
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U2 - 10.1016/S0165-0270(02)00145-0
DO - 10.1016/S0165-0270(02)00145-0
M3 - Article
C2 - 12204311
AN - SCOPUS:0037200724
VL - 118
SP - 207
EP - 214
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
SN - 0165-0270
IS - 2
ER -