Data assimilation methods for neuronal state and parameter estimation
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Publication:1710228
DOI10.1186/s13408-018-0066-8zbMath1405.92050OpenAlexW2886172288WikidataQ57104059 ScholiaQ57104059MaRDI QIDQ1710228
Matthew J. Moye, Casey O. Diekman
Publication date: 16 January 2019
Published in: The Journal of Mathematical Neuroscience (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13408-018-0066-8
Related Items (6)
Low-dimensional models of single neurons: a review ⋮ Adaptive unscented Kalman filter for neuronal state and parameter estimation ⋮ Special issue from the 2017 international conference on mathematical neuroscience ⋮ Robust design of inhibitory neuronal networks displaying rhythmic activity ⋮ Robust data assimilation with noise: Applications to cardiac dynamics ⋮ On temporal scale separation in coupled data assimilation with the ensemble Kalman filter
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