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001			285964
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008			150903s2010 xxu| o |||| 0|eng d
020			_a9781441907967 _99781441907967
024	7		_a10.1007/9781441907967 _2doi
035			_avtls000338107
039		9	_a201509030322 _bVLOAD _c201404300340 _dVLOAD _y201402060902 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aRC321-580
100	1		_aSteyn-Ross, D. Alistair. _eeditor. _9314408
245	1	0	_aModeling Phase Transitions in the Brain / _cedited by D. Alistair Steyn-Ross, Moira Steyn-Ross.
264		1	_aNew York, NY : _bSpringer New York, _c2010.
300			_axxv, 350 páginas 103 ilustraciones, 24 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringer Series in Computational Neuroscience ; _v4
500			_aSpringer eBooks
505	0		_aPhase 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.
520			_aForeword 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 emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states. "Modeling Phase Transitions in the Brain" contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band EEG oscillations, gap-junction-moderated Turing structures, and Hopf--Turing interactions leading to cortical waves. Written for: Researchers, clinicians, physicians, neurologists About the editors: Alistair Steyn-Ross and Moira Steyn-Ross are computational and theoretical physicists in the Department of Engineering, University of Waikato, New Zealand. They share a long-standing interest in the application of physics-based methods to gain insight into the emergent behavior of complex biological systems such as single neurons and interacting neural populations.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aSteyn-Ross, Moira. _eeditor. _9314409
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781441907950
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-0796-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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