A Method for Selecting the Bin Size of a Time Histogram

by: Hideaki Shimazaki, Shigeru Shinomoto

Neural Comp., Vol. 19, No. 6. (1 June 2007), pp. 1503-1527.

View FullText article

HighWire

Reviews [Write a review of this article]

There are no reviews of this article

Find related articles from these CiteULike users

nelmor, DavidSchulz, shimazaki

Find related articles with these CiteULike tags

analysis, methods, no-tag, stat

摘要

The time histogram method is the most basic tool for capturing a time-dependent rate of neuronal spikes. Generally in the neurophysiological literature, the bin size that critically determines the goodness of the fit of the time histogram to the underlying spike rate has been subjectively selected by individual researchers. Here, we propose a method for objectively selecting the bin size from the spike count statistics alone, so that the resulting bar or line graph time histogram best represents the unknown underlying spike rate. For a small number of spike sequences generated from a modestly fluctuating rate, the optimal bin size may diverge, indicating that any time histogram is likely to capture a spurious rate. Given a paucity of data, the method presented here can nevertheless suggest how many experimental trials should be added in order to obtain a meaningful time-dependent histogram with the required accuracy.

@article{citeulike:2191242, abstract = {The time histogram method is the most basic tool for capturing a time-dependent rate of neuronal spikes. Generally in the neurophysiological literature, the bin size that critically determines the goodness of the fit of the time histogram to the underlying spike rate has been subjectively selected by individual researchers. Here, we propose a method for objectively selecting the bin size from the spike count statistics alone, so that the resulting bar or line graph time histogram best represents the unknown underlying spike rate. For a small number of spike sequences generated from a modestly fluctuating rate, the optimal bin size may diverge, indicating that any time histogram is likely to capture a spurious rate. Given a paucity of data, the method presented here can nevertheless suggest how many experimental trials should be added in order to obtain a meaningful time-dependent histogram with the required accuracy.}, author = {Shimazaki, Hideaki and Shinomoto, Shigeru }, citeulike-article-id = {2191242}, journal = {Neural Comp.}, keywords = {analysis, methods}, month = {June}, number = {6}, pages = {1503--1527}, posted-at = {2008-01-04 12:40:50}, priority = {2}, title = {A Method for Selecting the Bin Size of a Time Histogram}, url = {http://neco.mitpress.org/cgi/content/abstract/19/6/1503}, volume = {19}, year = {2007} }

RIS record

TY - JOUR ID - citeulike:2191242 L3 - citeulike-article-id:2191242 TI - A Method for Selecting the Bin Size of a Time Histogram JF - Neural Comp. VL - 19 IS - 6 SP - 1503 EP - 1527 N2 - The time histogram method is the most basic tool for capturing a time-dependent rate of neuronal spikes. Generally in the neurophysiological literature, the bin size that critically determines the goodness of the fit of the time histogram to the underlying spike rate has been subjectively selected by individual researchers. Here, we propose a method for objectively selecting the bin size from the spike count statistics alone, so that the resulting bar or line graph time histogram best represents the unknown underlying spike rate. For a small number of spike sequences generated from a modestly fluctuating rate, the optimal bin size may diverge, indicating that any time histogram is likely to capture a spurious rate. Given a paucity of data, the method presented here can nevertheless suggest how many experimental trials should be added in order to obtain a meaningful time-dependent histogram with the required accuracy. KW - analysis KW - methods AU - Shimazaki, Hideaki AU - Shinomoto, Shigeru PY - 2007/06/01/ UR - http://neco.mitpress.org/cgi/content/abstract/19/6/1503 ER -

RIS BibTeX