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Mathematical model order reduction in computational neuroscience
Mikko Lehtimäki
,
Lassi Paunonen
,
Marja-Leena Linne
Tietotekniikka
Tutkimustuotos
:
Posteri
›
Scientific
Yleiskatsaus
Sormenjälki
Sormenjälki
Sukella tutkimusaiheisiin 'Mathematical model order reduction in computational neuroscience'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.
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Aakkosjärjestyksessä
Keyphrases
Computational Neuroscience
100%
Mathematical Model
100%
Model Order Reduction
100%
Neuroscience
22%
Computational Efficiency
22%
Original Model
22%
System Dynamics
22%
Proper Orthogonal Decomposition
22%
Discrete Empirical Interpolation Method
22%
Chemical Reaction
11%
Equation Model
11%
Brain Regions
11%
Engineering Science
11%
Nonlinear Systems
11%
System Level
11%
Computational Reduction
11%
Original System
11%
Control Theory
11%
Network Level
11%
Simulation Time
11%
Nonlinear Characteristics
11%
Ionic Current
11%
Signaling Pathway
11%
System Behavior
11%
Linearization
11%
Reduced Order Model
11%
Reduced Model
11%
Number of Dimensions
11%
Calcium Signaling
11%
Pathway Model
11%
Parallel Computer
11%
Full System
11%
Physical Scaling
11%
Squared Error
11%
Approximation Error
11%
Chemical Equations
11%
Scale Model
11%
Subcortical Areas
11%
Engineering
Mathematical Model
100%
Systems Dynamics
28%
Computational Efficiency
28%
Proper Orthogonal Decomposition
28%
Engineering
14%
Biochemicals
14%
Dimensionality
14%
Simulation Time
14%
System Behavior
14%
Reduced Order Model
14%
Molecular Level
14%
Final Application
14%
Multiscale Model
14%
Square Error
14%
Parallel Computer
14%
Nonlinear System
14%
Mathematics
Mathematical Modeling
100%
Reduction Method
42%
Discrete Empirical Interpolation Method
28%
Approximates
14%
Level System
14%
Control Theory
14%
Reduced Model
14%
Scale Model
14%
System Behavior
14%
Chemical Equation
14%
Square Error
14%
Approximation Error
14%
Nonlinear System
14%
Chemical Engineering
Nonlinear System
100%