Analysis of Parallel Spike Trains

1. Stochastic Models of Spike Trains
Carl Vreeswijk

2. Estimating the Firing Rate
Shigeru Shinomoto

3. Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains
Martin Paul Nawrot

4. Processing of Phase-Locked Spikes and Periodic Signals
Go Ashida, Hermann Wagner, Catherine E. Carr

5. Pair-Correlation in the Time and Frequency Domain
Jos J. Eggermont

6. Dependence of Spike-Count Correlations on Spike-Train Statistics and Observation TimeScale
Tom Tetzlaff, Markus Diesmann

7. Spike Metrics
Jonathan D. Victor, Keith P. Purpura

8. Gravitational Clustering
George Gerstein

9. Spatio-Temporal Patterns
Moshe Abeles

10. Unitary Event Analysis
Sonja Grün, Markus Diesmann, Ad Aertsen

11. Information Geometry of Multiple Spike Trains
Shun-ichi Amari

12. Higher-Order Correlations and Cumulants
Benjamin Staude, Sonja Grün, Stefan Rotter

13. Information Theory and Systems Neuroscience
Don H. Johnson, Ilan N. Goodman, Christopher J. Rozell

14. Population Coding
Stefano Panzeri, Fernando Montani, Giuseppe Notaro, Cesare Magri, Rasmus S. Peterson

15. Stochastic Models for Multivariate Neural Point Processes: Collective Dynamics and Neural Decoding
Wilson Truccolo

16. Simulation of Stochastic Point Processes with Defined Properties
Stefano Cardanobile, Stefan Rotter

17. Generation and Selection of Surrogate Methods for Correlation Analysis
Sebastien Louis, Christian Borgelt, Sonja Grün

18. Bootstrap Tests of Hypotheses
Valérie Ventura

19. Generating Random Numbers
Hans Ekkehard Plesser

20. Practically Trivial Parallel Data Processing in a Neuroscience Laboratory
Michael Denker, Bernd Wiebelt, Denny Fliegner, Markus Diesmann, Abigail Morrison

Keywords: Biomedicine, Neurosciences, Neurobiology