Modeling state-dependent sodium conductance data by a memoryless random process

DOI10.1016/0025-5564(82)90132-8zbMath0487.92009OpenAlexW2082099797MaRDI QIDQ1165790

Gilbert Baumann, George S. Easton

Publication date: 1982

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0025-5564(82)90132-8

zbMATH Keywords

Poisson processaggregation modelmemoryless random processmodeling state-dependent sodium conductance dataMyxicola axontime-homogeneous Markov-processvoltage-clamped excitable membranes

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Chemical kinetics in thermodynamics and heat transfer (80A30) Physiological, cellular and medical topics (92Cxx)

Cites Work

• Stochastic approach to chemical kinetics
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