Maximum-correntropy-based sequential method for fast neural population activity reconstruction in the cortex from incomplete abnormally-disturbed noisy measurements (Q6604183)
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scientific article; zbMATH DE number 7912560
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Maximum-correntropy-based sequential method for fast neural population activity reconstruction in the cortex from incomplete abnormally-disturbed noisy measurements |
scientific article; zbMATH DE number 7912560 |
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Maximum-correntropy-based sequential method for fast neural population activity reconstruction in the cortex from incomplete abnormally-disturbed noisy measurements (English)
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12 September 2024
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This article presents some recent research on the stochastic dynamic neural field (SDNF) equation of mathematical neuroscience. The authors use a state-space approach for the membrane potential reconstruction procedure adapted for the maximum correntropy criterion (MCC) filtering. With this, they develop ``distributionally robust'' pattern recognition and reconstruction methods within the MCC framework and the extended Kalman filter (EKF).
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stochastic dynamic neural fields
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maximum correntropy criterion
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non-Gaussian uncertainties
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extended Kalman filter
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sequential filtering
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