Phase Response Curves in Neuroscience Theory, Experiment, and Analysis /

Neuronal phase response curves (PRCs) summarize the relationship between the timing of inputs within a neuron's spike cycle and the consequent shifts in output spike timing.  The form of a neuron's PRC reflects its mechanism of spike initiation or excitability as well as other influences o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Schultheiss, Nathan W. (Editor ), Prinz, Astrid A. (Editor ), Butera, Robert J. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Springer Series in Computational Neuroscience, 6
Temas:
Neurosciences.
Neurology .
Neuroscience.
Neurology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface
  • Part 1; Foundations of Phase Response Analysis
  • Introduction to Part 1
  • Chapter 1. The theory of weakly coupled oscillators
  • Chapter 2. Phase resetting neural oscillators: Topological theory versus the real world
  • Chapter 3. A theoretical framework for the dynamics of multiple intrinsic oscillators in single neurons
  • Chapter 4. History of the application of the phase resetting curve to neurons coupled in a pulsatile manner
  • Part 2; Estimation of Phase Response Curves
  • Introduction to Part 2
  • Chapter 5. Experimentally estimating phase response curves of neurons: Theoretical and practical issues
  • Chapter 6. A geometric approach to phase resetting estimation based on mapping temporal to geometric phase
  • Chapter 7. PRC estimation with varying width intervals
  • Chapter 8. Bayesian approach to estimating phase response curves
  • Part 3; Cellular Mechanisms of Neuronal Phase Response Properties
  • Introduction to Part 3
  • Chapter 9. Phase response curves to measure ion channel effects on neurons
  • Chapter 10. Cellular mechanisms underlying spike-time reliability and stochastic synchronization: Insights and predictions from the phase-response curve
  • Chapter 11. Recovery of stimuli encoded with a Hodgkin-Huxley neuron using conditional PRCs
  • Chapter 12. Cholinergic neuromodulation controls PRC type in cortical pyramidal neurons
  • Chapter 13. Continuum of type I somatic to type II dendritic PRCs; Simulatingin vitro and in vivo phase response properties of a morphologically reconstructed Globus Pallidus neuron model
  • Part 4; Prediction of Network Activity with Phase Response Curves
  • Introduction to Part4
  • Chapter 14. Understanding activity in electrically coupled networks using PRCs and the theory of weakly coupled oscillators
  • Chapter 15. The role of intrinsic cell properties in synchrony of neurons interacting via electrical synapses
  • Chapter 16. A PRC description of how inhibitory feedback promotes oscillation stability
  • Chapter 17. Existence and stability criteria for phase locked modes in ring networks using phase resetting curves and spike time resetting curves
  • Chapter 18. Phase resetting curve analysis of global synchrony, the splay mode and clustering in N neuron all to all pulse-coupled networks
  • Chapter 19.  Effects of the frequency dependence of phase response curves on network synchronization
  • Chapter 20. Phase-resetting analysis of gamma-frequency synchronization of cortical fast-spiking interneurons using synaptic-like conductance injection.               .

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