Analysis of Parallel Spike Trains

Action potentials, or spikes, are the most salient expression of neuronal processing in the active brain, and they are likely an important key to understanding the neuronal mechanisms of behavior. However, it is the group dynamics of large networks of neurons that is likely to underlie brain functio...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Grün, Sonja (Επιμελητής έκδοσης), Rotter, Stefan (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2010.
Σειρά:Springer Series in Computational Neuroscience ; 7
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Basic spike train statistics: Point process models
  • Stochastic Models of Spike Trains
  • Estimating the Firing Rate
  • Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains
  • Processing of Phase-Locked Spikes and Periodic Signals
  • Pairwise comparison of spike trains
  • Pair-Correlation in the Time and Frequency Domain
  • Dependence of Spike-Count Correlations on Spike-Train Statistics and Observation Time Scale
  • Spike Metrics
  • Gravitational Clustering
  • Multiple-neuron spike patterns
  • Spatio-Temporal Patterns
  • Unitary Event Analysis
  • Information Geometry of Multiple Spike Trains
  • Higher-Order Correlations and Cumulants
  • Population-based approaches
  • Information Theory and Systems Neuroscience
  • Population Coding
  • Stochastic Models for Multivariate Neural Point Processes: Collective Dynamics and Neural Decoding
  • Practical issues
  • Simulation of Stochastic Point Processes with Defined Properties
  • Generation and Selection of Surrogate Methods for Correlation Analysis
  • Bootstrap Tests of Hypotheses
  • Generating Random Numbers
  • Practically Trivial Parallel Data Processing in a Neuroscience Laboratory
  • Erratum to: Population Coding.