大葉大學圖書館 |

Neuro-informatics and neural modelling[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	612.8
杜威分類號:	573.8/5
書名/作者:	Neuro-informatics and neural modelling/ editors, F. Moss, S. Gielen.
其他作者:	Moss, Frank,
出版者:	Amsterdam ; : Elsevier,, 2001.
面頁冊數:	xix, 1059 p. : : ill. ;; 25 cm.
標題:	Synaptic Transmission - physiology.
標題:	Models, Neurological.
標題:	Nerve Net - physiology.
標題:	Nonlinear Dynamics.
標題:	Neural transmission.
標題:	Neural networks (Neurobiology)
ISBN:	9780444502841
ISBN:	044450284X
書目註:	Includes bibliographical references and index.
內容註:	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 ... [et al.] -- 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 ... [et al.] -- Statistical analysis and modeling of calcium waves in healthy and pathological astrocyte syncytia / P. Jung ... [et al.] -- 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.
摘要、提要註:	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.
電子資源:	http://www.sciencedirect.com/science/book/9780444502841

Neuro-informatics and neural modelling[electronic resource] /
Neuro-informatics and neural modelling[electronic resource] /editors, F. Moss, S. Gielen. - Amsterdam ;Elsevier,2001. - xix, 1059 p. :ill. ;25 cm. - Handbook of biological physics,v. 41383-8121 ;. - Handbook of biological physics ;v. 4..

Includes bibliographical references and index.

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 ... [et al.] -- 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 ... [et al.] -- Statistical analysis and modeling of calcium waves in healthy and pathological astrocyte syncytia / P. Jung ... [et al.] -- 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.

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.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9780444502841

Source: 121212:128086Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

428108
Synaptic Transmission
--physiology.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QP364.5 / .N475 2001eb

Dewey Class. No.: 612.8

National Agricultural Library Call No.: QH505 / .H36 v. 4

National Library of Medicine Call No.: 2001 N-228

Neuro-informatics and neural modelling[electronic resource] /
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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.
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