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Download Analysis of Parallel Spike Trains (Springer Series in Computational Neuroscience) ePub

by Sonja Grün,Stefan Rotter

Download Analysis of Parallel Spike Trains (Springer Series in Computational Neuroscience) ePub
  • ISBN 1441956743
  • ISBN13 978-1441956743
  • Language English
  • Author Sonja Grün,Stefan Rotter
  • Publisher Springer; 2010 edition (August 30, 2010)
  • Pages 444
  • Formats txt lrf lrf doc
  • Category Medicine
  • Subcategory Medicine
  • Size ePub 1851 kb
  • Size Fb2 1359 kb
  • Rating: 4.4
  • Votes: 296

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.

Springer Series in Computational Neuroscience. Springer Series in Computational Neuroscience.

Springer Series in Computational Neuroscience. Analysis of Parallel Spike Trains. The first textbook to focus explicitly on analysis of parallel spike trains. Show all. Table of contents (21 chapters). Stochastic Models of Spike Trains.

Start by marking Analysis Of Parallel Spike Trains (Springer Series . Published November 1st 2010 by Springer.

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Series: Springer Series in Computational Neuroscience 7. File: PDF, . 1 MB. Читать онлайн.

To reliably interpret the results of such experiments, solid and comprehensible data analysis is crucial. The development of data analysis methods, though, has not really kept pace with the advances in recording technology. Neither general concepts, nor statistical methodology seem adequate for the new experimental possibilities. Series: Springer Series in Computational Neuroscience 7.

Sonja Grün, Stefan Rotter. Solid and transparent data analysis is the most important basis for reliable interpretation of experiments.

Series: Springer Series in Computational Neuroscience (Book 7).

ISBN-13: 978-1441956743. Series: Springer Series in Computational Neuroscience (Book 7).

Sonja Grun, Stefan Rotter. Solid and transparent data analysis is the most important basis for reliable interpretation of experiments

Sonja Grun, Stefan Rotter.

The technique of parallel spike train recordings using multi-electrode arrangements has . Stefan Rotter, born 1961, holds a MSc in Mathematics, a PhD in Physics and a Habilitation in Biology.

Stefan Rotter, born 1961, holds a MSc in Mathematics, a PhD in Physics and a Habilitation in Biology.

Unitary event analysis Analysis of parallel spike trains Springer series in computational neuroscience The organization of behavior Integrator or coincidence . In: Grü S, Rotter S (eds) Analysis of parallel spike trains.

Unitary event analysis Analysis of parallel spike trains Springer series in computational neuroscience The organization of behavior Integrator or coincidence detector? The role of the cortical neuron revisited. Springer series in computational neuroscience, Springer, Heidelberg, pp 191–218 Hebb DO (1949) The organization of behavior. Wiley, New York Kö P, Engel AK, Singer W (1996) Integrator or coincidence detector? The role of the cortical neuron revisited.

You often feel tired, not because you've done too much, but because you've done too little of what sparks a light in you. ― Anonymous. The Purpose-Driven Life: What on Earth Am I Here For? 2003·3

Springer Series in Computational Neuroscience. Combining repetitive stimulation and simultaneous recording of spike trains. from two (or more) neurons yields additional clues as to possible modes of interaction

Springer Series in Computational Neuroscience. from two (or more) neurons yields additional clues as to possible modes of interaction. among the monitored neurons; the theory presented is illustrated by an application to experimentally.