Mathematical Foundations of Neuroscience
This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important...
Κύριοι συγγραφείς: | , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
|
Σειρά: | Interdisciplinary Applied Mathematics,
35 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- The Hodgkin–Huxley Equations
- Dendrites
- Dynamics
- The Variety of Channels
- Bursting Oscillations
- Propagating Action Potentials
- Synaptic Channels
- Neural Oscillators: Weak Coupling
- Neuronal Networks: Fast/Slow Analysis
- Noise
- Firing Rate Models
- Spatially Distributed Networks.