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Neuro-informatics and neural modelling /
How do sensory neurons transmit information about environmental stimuli to the central nervous system? How do networks of neurons in the CNS decode that information, thus leading to perception and consciousness? These questions are among the oldest in neuroscience. Quite recently, new approaches to...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
Elsevier,
2001.
|
| Colección: | Handbook of biological physics ;
v. 4. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo Texto completo |
MARC
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| 245 | 0 | 0 | |a Neuro-informatics and neural modelling / |c editors, F. Moss, S. Gielen. |
| 260 | |a Amsterdam ; |a New York : |b Elsevier, |c 2001. | ||
| 300 | |a 1 online resource (xix, 1059 pages) : |b illustrations | ||
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| 490 | 1 | |a Handbook of biological physics, |x 1383-8121 ; |v v. 4 | |
| 520 | |a How do sensory neurons transmit information about environmental stimuli to the central nervous system? How do networks of neurons in the CNS decode that information, thus leading to perception and consciousness? These questions are among the oldest in neuroscience. Quite recently, new approaches to exploration of these questions have arisen, often from interdisciplinary approaches combining traditional computational neuroscience with dynamical systems theory, including nonlinear dynamics and stochastic processes. In this volume in two sections a selection of contributions about these topics from a collection of well-known authors is presented. One section focuses on computational aspects from single neurons to networks with a major emphasis on the latter. The second section highlights some insights that have recently developed out of the nonlinear systems approach. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Electrical stimulation of the somatosensory system / K.A. Richardson and J.J. Collins -- Phase synchronization : from periodic to chaotic and noisy / L. Schimansky-Geier, V.S. Anishchenko and A. Neiman -- Fluctuations in neural systems : from subcellular to network levels / P. �Arhem and H. Liljenstr�om -- Detecting unstable periodic orbits in biological systems / K. Dolan, M.L. Spano and F. Moss -- The topology and organization of unstable periodic orbits in Hodgkin-Huxley models of receptors with subthreshold oscillations / R. Gilmore and X. Pei -- Controlling cardiac arrhythmias : the relevance of nonlinear dynamics / D.J. Christini [and others] -- Controlling the dynamics of cardiac muscle using small electrical stimuli / D.J. Gauthier, S. Bahar and G.M. Hall -- Intrinsic noise from voltage-gated ion channels : effects on dynamics and reliability in intrinsically oscillatory neurons / J.A. White and J.S. Haas -- Phase synchronization : from theory to data analysis / M. Rosenblum [and others] -- Statistical analysis and modeling of calcium waves in healthy and pathological astrocyte syncytia / P. Jung [and others] -- Neurones as physical objects : structure, dynamics and function / C. Meunier and I. Segev -- A framework for spiking neuron models : the spike response model / W. Gerstner -- An introduction to stochastic neural networks / H.J. Kappen -- Statistical mechanics of recurrent neural networks I -- Statics / A.C.C. Coolen -- Statistical mechanics of recurrent neural networks II -- Dynamics / A.C.C. Coolen -- Topologically ordered neural networks / J.A. Flanagan -- Geometry of neural networks : natural gradient for learning / K. Fukumizu -- Theory of synaptic plasticity / J.L. van Hemmen -- Information coding in higher sensory and memory areas / A. Treves -- Population coding : efficiency and interpretation of neuronal activity / C.C.A.M. Gielen -- Mechanisms of synchrony of neural activity in large networks / D. Golomb, D. Hansel and G. Mato -- Emergence of feature selectivity from lateral interactions in the visual cortex / U. Ernst, M. Tsodyks and K. Pawelzik -- Information transfer between sensory and motor networks / M. Lappe. | |
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Neural transmission. | |
| 650 | 0 | |a Neural networks (Neurobiology) | |
| 650 | 1 | 2 | |a Synaptic Transmission |x physiology |0 (DNLM)D009435Q000502 |
| 650 | 2 | |a Synaptic Transmission |0 (DNLM)D009435 | |
| 650 | 2 | 2 | |a Models, Neurological |0 (DNLM)D008959 |
| 650 | 2 | 2 | |a Nerve Net |x physiology |0 (DNLM)D009415Q000502 |
| 650 | 2 | 2 | |a Nonlinear Dynamics |0 (DNLM)D017711 |
| 650 | 6 | |a Transmission nerveuse. |0 (CaQQLa)201-0022975 | |
| 650 | 6 | |a R�eseaux neuronaux (Neurobiologie) |0 (CaQQLa)201-0244857 | |
| 650 | 7 | |a MEDICAL |x Neuroscience. |2 bisacsh | |
| 650 | 7 | |a PSYCHOLOGY |x Neuropsychology. |2 bisacsh | |
| 650 | 7 | |a Neural networks (Neurobiology) |2 fast |0 (OCoLC)fst01036271 | |
| 650 | 7 | |a Neural transmission. |2 fast |0 (OCoLC)fst01036280 | |
| 653 | 0 | 0 | |a neurochemie |
| 653 | 0 | 0 | |a neurochemistry |
| 653 | 0 | 0 | |a neurologie |
| 653 | 0 | 0 | |a neurology |
| 653 | 0 | 0 | |a neurofysiologie |
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| 653 | 0 | 0 | |a prikkelgeleiding |
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| 700 | 1 | |a Moss, Frank, |d 1934- | |
| 700 | 1 | |a Gielen, Stan, |d 1952- | |
| 776 | 0 | 8 | |i Print version: |t Neuro-informatics and neural modelling. |d Amsterdam ; New York : Elsevier, 2001 |z 044450284X |z 9780444502841 |w (DLC) 2001273384 |w (OCoLC)47675283 |
| 830 | 0 | |a Handbook of biological physics ; |v v. 4. |x 1383-8121 | |
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| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/handbooks/13838121/4 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/publication?issn=13838121&volume=4 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444502841 |z Texto completo |