Modeling Phase Transitions in the Brain /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Springer Series in Computational Neuroscience,
4 |
| Materias: |
Tabla de Contenidos:
- Phase transitions in single neurons and neural populations: Critical slowing, anesthesia, and sleep cycles
- Generalized state-space models for modeling nonstationary EEG time-series
- Spatiotemporal instabilities in neural fields and the effects of additive noise
- Spontaneous brain dynamics emerges at the edge of instability
- Limited spreading: How hierarchical networks prevent the transition to the epileptic state
- Bifurcations and state changes in the human alpha rhythm: Theory and experiment
- Inducing transitions in mesoscopic brain dynamics
- Phase transitions in physiologically-based multiscale mean-field brain models
- A continuum model for the dynamics of the phase transition from slow-wave sleep to REM sleep
- What can a mean-field model tell us about the dynamics of the cortex?
- Phase transitions, cortical gamma, and the selection and read-out of information stored in synapses
- Cortical patterns and gamma genesis are modulated by reversal potentials and gap-junction diffusion.