國立高雄大學圖資館 |

Language: English

Back

Encyclopedia of computational neuros...

Jaeger, Dieter.

Encyclopedia of computational neuroscience

Record Type:	Electronic resources : Monograph/item
Title/Author:	Encyclopedia of computational neuroscienceedited by Dieter Jaeger, Ranu Jung.
other author:	Jaeger, Dieter.
Published:	New York, NY :Springer New York :2015.
Description:	lxiii, 3180 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computational neuroscienceCongresses.
Online resource:	http://dx.doi.org/10.1007/978-1-4614-6675-8
ISBN:	9781461466758 (electronic bk.)

Encyclopedia of computational neuroscience
Encyclopedia of computational neuroscience[electronic resource] /edited by Dieter Jaeger, Ranu Jung. - New York, NY :Springer New York :2015. - lxiii, 3180 p. :ill., digital ;24 cm.

Information 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.

The 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 Neuroscience" emerged 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.

ISBN: 9781461466758 (electronic bk.)

Standard No.: 10.1007/978-1-4614-6675-8doiSubjects--Topical Terms:

442989
Computational neuroscience
--Congresses.

LC Class. No.: QP357.5

Dewey Class. No.: 612.8

Encyclopedia of computational neuroscience
LDR:03560nmm a2200313 a 4500 001 462402
003 DE-He213
005 20151006114946.0
006 m d
007 cr nn 008maaau
008 151119s2015 nyu s 0 eng d
020 $a 9781461466758 (electronic bk.)
020 $a 9781461466741 (paper)
024 7 $a 10.1007/978-1-4614-6675-8 $2 doi
035 $a 978-1-4614-6675-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QP357.5
072 7 $a PSAN $2 bicssc
072 7 $a MED057000 $2 bisacsh
082 0 4 $a 612.8 $2 23
090 $a QP357.5 $b .E56 2015
245 0 0 $a Encyclopedia of computational neuroscience $h [electronic resource] / $c edited by Dieter Jaeger, Ranu Jung.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2015.
300 $a lxiii, 3180 p. : $b ill., digital ; $c 24 cm.
505 0 $a Information 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 $a The 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 Neuroscience" emerged 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 0 $a Computational neuroscience $v Congresses. $3 442989
650 1 4 $a Biomedicine. $3 273648
650 2 4 $a Neurosciences. $3 211508
650 2 4 $a Neurobiology. $3 195022
650 2 4 $a Computation by Abstract Devices. $3 273703
700 1 $a Jaeger, Dieter. $3 715350
700 1 $a Jung, Ranu. $3 715351
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4614-6675-8
950 $a Biomedical and Life Sciences (Springer-11642)