Maximum-likelihood \(q\)-estimator uncovers the role of potassium at neuromuscular junctions

DOI10.1007/s00422-015-0673-3zbMath1345.92047OpenAlexW2234944747WikidataQ87000156 ScholiaQ87000156MaRDI QIDQ310136

Mohammad Hasan, M. Dambrine

Publication date: 8 September 2016

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-015-0673-3

zbMATH Keywords

high extracellular potassiummaximum-likelihood estimationminiature endplate potentialneuromuscular junctionnonextensive behavior

Mathematics Subject Classification ID

Neural biology (92C20) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Distribution theory (60E99)

Cites Work

• Maximum likelihood and Bayesian methods for estimating the distribution of selective effects among classes of mutations using DNA polymorphism data
• Maximum L\(q\)-likelihood estimation
• On generalized Cramér–Rao inequalities, generalized Fisher information and characterizations of generalizedq-Gaussian distributions
• Introduction to Nonextensive Statistical Mechanics
• Law of Error in Tsallis Statistics
• On aq-generalization of circular and hyperbolic functions

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