Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data

DOI10.1162/neco_a_01515zbMath1494.92033OpenAlexW4281761297MaRDI QIDQ5095882

Henry D. I. Abarbanel, Lawson Fuller, Randall Clark, Jason A. Platt

Publication date: 11 August 2022

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_01515

zbMATH Keywords

Hodgkin-Huxley neuron modeldata-driven forecasting

Mathematics Subject Classification ID

Neural biology (92C20)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Dynamical estimation of neuron and network properties. II: Path integral Monte Carlo methods
• Interpolation of scattered data: distance matrices and conditionally positive definite functions
• Dynamical estimation of neuron and network properties. I: Variational methods
• Bursting, chaos and birhythmicity originating from self-modulation of the inositol 1,4,5-trisphosphate signal in a model for intracellular Ca\(^{2+}\) oscillations
• Nonlinear prediction of chaotic time series
• On the number of samples necessary to achieve observability
• Embedology
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• On selecting models for nonlinear time series
• Error estimates and condition numbers for radial basis function interpolation
• Using radial basis function networks for function approximation and classification
• Independent coordinates for strange attractors from mutual information
• Generic Observability of Differentiable Systems
• Nonlinear Time Series Analysis
• The Statistical Physics of Data Assimilation and Machine Learning
• Machine Learning: Deepest Learning as Statistical Data Assimilation Problems