語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Encyclopedia of Computational Neuros...
~
Jaeger, Dieter.
Encyclopedia of Computational Neuroscience
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Encyclopedia of Computational Neuroscience/ edited by Dieter Jaeger, Ranu Jung.
其他作者:
Jaeger, Dieter.
面頁冊數:
1109 illus., 769 illus. in color. eReference.online resource. :
Contained By:
Springer Nature eReference
標題:
Neurosciences. -
電子資源:
https://doi.org/10.1007/978-1-4614-6675-8
ISBN:
9781461466758
Encyclopedia of Computational Neuroscience
Encyclopedia of Computational Neuroscience
[electronic resource] /edited by Dieter Jaeger, Ranu Jung. - 1st ed. 2015. - 1109 illus., 769 illus. in color. eReference.online resource.
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
Standard No.: 10.1007/978-1-4614-6675-8doiSubjects--Topical Terms:
593561
Neurosciences.
LC Class. No.: RC321-580
Dewey Class. No.: 612.8
Encyclopedia of Computational Neuroscience
LDR
:03951nam a22003855i 4500
001
969437
003
DE-He213
005
20200702113627.0
007
cr nn 008mamaa
008
201211s2015 xxu| s |||| 0|eng d
020
$a
9781461466758
$9
978-1-4614-6675-8
024
7
$a
10.1007/978-1-4614-6675-8
$2
doi
035
$a
978-1-4614-6675-8
050
4
$a
RC321-580
072
7
$a
PSAN
$2
bicssc
072
7
$a
MED057000
$2
bisacsh
072
7
$a
PSAN
$2
thema
082
0 4
$a
612.8
$2
23
245
1 0
$a
Encyclopedia of Computational Neuroscience
$h
[electronic resource] /
$c
edited by Dieter Jaeger, Ranu Jung.
250
$a
1st ed. 2015.
264
1
$a
New York, NY :
$b
Springer New York :
$b
Imprint: Springer,
$c
2015.
300
$a
1109 illus., 769 illus. in color. eReference.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Neurosciences.
$3
593561
650
0
$a
Neurobiology.
$3
573189
650
0
$a
Computers.
$3
565115
650
2 4
$a
Computation by Abstract Devices.
$3
669792
700
1
$a
Jaeger, Dieter.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1265005
700
1
$a
Jung, Ranu.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1265006
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eReference
776
0 8
$i
Printed edition:
$z
9781461466765
776
0 8
$i
Printed edition:
$z
9781461466741
856
4 0
$u
https://doi.org/10.1007/978-1-4614-6675-8
912
$a
ZDB-2-SBL
912
$a
ZDB-2-SXRB
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
950
$a
Reference Module Biomedical and Life Sciences (SpringerNature-43744)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入