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Data Assimilation Methods for Neuronal State and Parameter Estimation
Matthew J. Moye
,
Casey O. Diekman
Mathematical Sciences
Research output
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Contribution to journal
›
Review article
›
peer-review
24
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Keyphrases
Data Assimilation
100%
Data Assimilation Method
100%
Parameter Estimation
100%
State Estimation
100%
Neuroscience
66%
Data Assimilation Algorithm
66%
Excitability
66%
Bifurcation Structure
66%
Computer Code
33%
Climate Sciences
33%
Conductance-based Neuron Model
33%
Neuronal Excitability
33%
Geometric Structure
33%
Unscented Kalman Filter
33%
Sequential Method
33%
Qualitative Measures
33%
Variational Methods
33%
Main Class
33%
Weather Prediction
33%
4D-Var
33%
Nonlinear State Estimation
33%
Nonlinear Parameter Estimation
33%
Unobserved Variables
33%
Mathematics
Parameter Estimation
100%
Climate Science
50%
Geometric Structure
50%
Kalman Filtering
50%
Concludes
50%
Sequential Method
50%
Computer Code
50%
Unobserved Variable
50%
Main Class
50%
Variational Method
50%
Earth and Planetary Sciences
Data Assimilation
100%
State Estimation
100%
Parameter Estimation
100%
Neurology
28%
Computer Programs
14%
Kalman Filter
14%
Computer Science
And-States
100%
Parameter Estimation
100%
Kalman Filter
50%
Unknown Parameter
50%
Neuroscience
Neuroscience
100%
Excitability
100%
Neuronal Excitability
50%
Biochemistry, Genetics and Molecular Biology
Excitability
100%
Electric Potential
66%
Conductance
33%
Software
33%