Modeling Phase Transitions in the Brain
Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic drugs demonstrates that the cerebral cortex can operate in two very different modes: alert and responsive versus unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they eme...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2010.
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| Σειρά: | Springer Series in Computational Neuroscience ;
4 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
