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Encyclopedia of computational neuroscience / Dieter Jäger, Ranu Jung, editors.

Jäger, Dieter, editor.; Jung, Ranu, editor.
2022
QP357.5
Available Online
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Title
Encyclopedia of computational neuroscience / Dieter Jäger, Ranu Jung, editors.
Edition
Second edition.
ISBN
9781071610060 (electronic bk.)
1071610066 (electronic bk.)
9781071610053 (print and electronic bundle)
9781071610046 (print)
DOI
https://doi.org/10.1007/978-1-0716-1006-0
Published
New York, NY : Springer, 2022.
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-1-0716-1006-0 doi
Call Number
QP357.5
Dewey Decimal Classification
612.8
Summary
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.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 15, 2022).
Added Author
Jäger, Dieter, editor.
Jung, Ranu, editor.
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Astrocyte Models
Auditory Sensing Systems
Basal Ganglia
Bayesian Approaches in Computational Neuroscience
Biochemical Signaling Pathways and Diffusion
Brain Imaging
Brain Machine Interface
Cable Theory
Cerebellum
Compartmental Modeling
Computational Neuroanatomy
Cortex
Databases in Computational Neuroscience
Decision Making
Deep Brain Stimulation (Models, Theory, Techniques)
Dynamical Systems
Dynamics of Disease States
Gamma and Theta Oscillations, Hippocampus
Information Theory
Invertebrate Pattern Generation
Invertebrate Sensory Systems
Ion Channel Types and Modeling
Learning Rules
LFP Analysis
Low Frequency Oscillations (Anesthesia and Sleep)
Model Reproducibility
Modeling of Disease - Molecular Level
Modeling Software Tools
Motoneurons and Neuromuscular Systems
Multistability in Neurodynamics
Neural Population Models and Cortical Field Theory
Neuromodulation
Neuromorphic Engineering
Neuronal Model Optimization
Olfaction
Peripheral Nerve Interfaces
Phase Response Curves
Retinal/Visual Interfaces (Models, Theory, Techniques)
Somatosensory System
Spectral Methods in Neural Data Analysis
Spike Train Analysis
Spinal and Neuromechanical Integration
Spinal Interfaces
Synaptic Dynamics
Vertebrate Pattern Generation

Vestibular System
Visual System.

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