Analysis of Parallel Spike Trains
Sonja Grün, Stefan Rotter
Springer Science & Business Media, Aug 18, 2010 - Medical - 444 pages
Solid and transparent data analysis is the most important basis for reliable interpretation of experiments. The technique of parallel spike train recordings using multi-electrode arrangements has been available for many decades now, but only recently gained wide popularity among electro physiologists. Many traditional analysis methods are based on firing rates obtained by trial-averaging, and some of the assumptions for such procedures to work can be ignored without serious consequences. The situation is different for correlation analysis, the result of which may be considerably distorted if certain critical assumptions are violated. The focus of this book is on concepts and methods of correlation analysis (synchrony, patterns, rate covariance), combined with a solid introduction into approaches for single spike trains, which represent the basis of correlations analysis. The book also emphasizes pitfalls and potential wrong interpretations of data due to violations of critical assumptions.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
activity Aertsen algorithm Amari auditory bootstrap calculate Chap coding coherence coincidences common Computational Neuroscience correlation coefficient cortex cortical covariance cross-correlation cumulant data set defined depends Diesmann dithering dynamics ensemble entropy estimation example Fano factor firing rate frequency function Gamma process Gaussian Gerstein given Grün higher-order correlations histogram independent information theory input inter-spike interactions interval ISI distribution kernel measure method metric modulation mutual information Nawrot Neural Comput neural spike neurons Neurophysiol nonstationarity null number of spikes numpy observation p-value pairs pairwise correlations Panzeri Parallel Spike Trains parameters patterns point process Poisson process population population coding probability distribution PSTH random number random variables renewal process response Rotter sample Sect Shinomoto signal significance simulation single neuron spike counts spike trains Springer Science+Business Media statistics stimulus stochastic surrogate synchrony temporal tion transform trials variance vector strength window