000			04285nam a22004095i 4500
999			_c81154 _d81154 _x1
001			81154
003			ES-MaUEC
005			20230207040317.0
007			cr nn 008mamaa
008			150323s2015 xxu| s |||| 0|eng d
020			_a9781461466758
024	7		_a10.1007/978-1-4614-6675-8 _2doi
040			_dES-MaUEC
050		4	_aQP357.5 _bE539 2015
082	0	4	_a612.8
245	1	0	_aEncyclopedia of Computational Neuroscience _cedited by Dieter Jaeger, Ranu Jung.
260			_aNew York _bSpringer _c2015
300			_a1 recurso en línea (1109 ilustraciones, 769 ilustraciones en color eReference.
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aInformation Theory -- Vestibular System -- Brute Force Methods in Computational Neuroscience -- Low Frequency Oscillations (Anesthesia and Sleep) -- Invertebrate Pattern Generation -- Gamma and Theta Oscillations, Hippocampus -- Cable Theory -- Vertebrate Pattern Generation -- Neural Population Models and Cortical Field Theory -- Basal Ganglia -- Brain Imaging -- Modeling Software Tools -- Model Reproducibility -- Auditory Sensing Systems -- Neuromorphic Engineering -- Ion Channel Types and Modeling -- Compartmental Modeling -- Dynamical Systems -- Biochemical Signaling Pathways and Diffusion -- Modeling of Disease -- Molecular Level -- Peripheral Nerve Interfaces -- Brain Scale Networks -- Brainstem Processing -- Phase Response Curves -- Computational Neuroanatomy -- Multistability in Neurodynamics -- Decision Making -- Invertebrate Sensory Systems -- Synaptic Dynamics -- Deep Brain Stimulation (Models, Theory, Techniques) -- Motor Neuron Models -- Somatosensory System -- Spike Train Analysis -- Spectral Methods in Neural Data Analysis -- Bayesian Approaches in Computational Neuroscience -- Cerebellum -- Databases in Computational Neuroscience -- Dynamics of Disease States -- LFP Analysis -- Brain Machine Interface -- Cortex -- Spinal Interfaces -- Olfaction -- Neuromodulation -- Spinal Cord -- Retinal/Visual Interfaces (Models, Theory, Techniques) -- Learning Rules -- Visual System -- Spiking Network Models and Theory -- Neuromechanics.
520			_aThe annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. “Computational Neuroscienceâ€{u096D}erged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.
650		7	_aOrdenadores _0LocalX _2embne _9138111
650		7	_aNeurobiología _0LocalX _2embne _9139039
650		7	_aMedicina _0LocalX _2embne _9405021
650		7	_aNeurociencias _0LocalX _2embne _9158907
700	1		_aJaeger, Dieter _eeditor literario _993410 _0Local
700	1		_aJung, Ranu _eeditor literario _993411 _0Local
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-1-4614-6675-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12897449 _b10-10-17 _c18-01-16
942			_2lcc _cLE
945			_aQP357.5 E539 2015 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11567065 _z06-04-17
988			_aEBOOK, EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _gxxu _h0