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Analysis of Parallel Spike Trains

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Cover of 'Analysis of Parallel Spike Trains'

Table of Contents

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    Book Overview
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    Chapter 1 Stochastic Models of Spike Trains
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    Chapter 2 Estimating the Firing Rate
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    Chapter 3 Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains
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    Chapter 4 Processing of Phase-Locked Spikes and Periodic Signals
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    Chapter 5 Pair-Correlation in the Time and Frequency Domain
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    Chapter 6 Dependence of Spike-Count Correlations on Spike-Train Statistics and Observation Time Scale
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    Chapter 7 Spike Metrics
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    Chapter 8 Gravitational Clustering
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    Chapter 9 Spatio-Temporal Patterns
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    Chapter 10 Unitary Event Analysis
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    Chapter 11 Information Geometry of Multiple Spike Trains
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    Chapter 12 Higher-Order Correlations and Cumulants
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    Chapter 13 Information Theory and Systems Neuroscience
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    Chapter 14 Population Coding
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    Chapter 15 Stochastic Models for Multivariate Neural Point Processes: Collective Dynamics and Neural Decoding
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    Chapter 16 Simulation of Stochastic Point Processes with Defined Properties
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    Chapter 17 Generation and Selection of Surrogate Methods for Correlation Analysis
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    Chapter 18 Bootstrap Tests of Hypotheses
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    Chapter 19 Generating Random Numbers
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    Chapter 20 Practically Trivial Parallel Data Processing in a Neuroscience Laboratory
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    Chapter 21 Erratum to: Population Coding
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Title
Analysis of Parallel Spike Trains
Published by
Springer, Boston, MA, August 2010
DOI 10.1007/978-1-4419-5675-0
ISBNs
978-1-4419-5674-3, 978-1-4419-5675-0
Editors

Sonja Grün, Stefan Rotter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 416 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
Germany 7 2%
Switzerland 4 <1%
France 4 <1%
Malaysia 2 <1%
Japan 2 <1%
United Kingdom 2 <1%
Austria 1 <1%
Brazil 1 <1%
Other 11 3%
Unknown 369 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 148 36%
Researcher 89 21%
Student > Master 41 10%
Student > Doctoral Student 29 7%
Student > Bachelor 22 5%
Other 57 14%
Unknown 30 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 27%
Neuroscience 92 22%
Engineering 59 14%
Computer Science 28 7%
Physics and Astronomy 27 6%
Other 54 13%
Unknown 44 11%