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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Schultheiss, Nathan W. (Επιμελητής έκδοσης), Prinz, Astrid A. (Επιμελητής έκδοσης), Butera, Robert J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2012.
• Σειρά: Springer Series in Computational Neuroscience ; 6
• Θέματα: Medicine.; Neurosciences.; Neurology.; Biomedicine.

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 of membrane...

Πίνακας περιεχομένων:

• 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.               .