Correcting for the sampling bias problem in spike train information measures abbreviated title: Bias in spike train information measures
نویسندگان
چکیده
Acknowledgments We are grateful to S.N. Baker for organizing the EPSRCfunded Newcastle workshop on Spike Train Analysis, which inspired the writing of this review. We thank M. Diamond and E. Arabzadeh for sharing their data, and P.E. Latham, L. Paninski and J.D. Victor for useful discussions and insightful comments. Our research was supported by Pfizer Global Development (SP,RS), EPSRC EP/C010841, EP/E002331 and EP/E057101 (SP), and an MRC Fellowship in Neuroinformatics (MAM). Page 1 of 37 Articles in PresS. J Neurophysiol (July 5, 2007). doi:10.1152/jn.00559.2007
منابع مشابه
Correcting for the sampling bias problem in spike train information measures.
Information Theory enables the quantification of how much information a neuronal response carries about external stimuli and is hence a natural analytic framework for studying neural coding. The main difficulty in its practical application to spike train analysis is that estimates of neuronal information from experimental data are prone to a systematic error (called "bias"). This bias is an ine...
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