A Fast, Fully Implicit Backward Euler Solver for Dendritic Neurons

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dc.contributor.authorCox, Steven J.
dc.contributor.authorGriffith, Boyce E.
dc.date.accessioned2018-06-18T17:48:15Z
dc.date.available2018-06-18T17:48:15Z
dc.date.issued2000-09
dc.date.noteSeptember 2000
dc.description.abstractWe develop and test a C++ implementation of a discretization of the Hodgkin-Huxley equations for dendritic neurons which employs backward Euler in time and finite differences in space. We make use of the sparse analytical Jacobian matrix to perform the nonlinear solve required at each time step via Newton's method.
dc.format.extent12 pp
dc.identifier.citationCox, Steven J. and Griffith, Boyce E.. "A Fast, Fully Implicit Backward Euler Solver for Dendritic Neurons." (2000) <a href="https://hdl.handle.net/1911/101958">https://hdl.handle.net/1911/101958</a>.
dc.identifier.digitalTR00-32
dc.identifier.urihttps://hdl.handle.net/1911/101958
dc.language.isoeng
dc.titleA Fast, Fully Implicit Backward Euler Solver for Dendritic Neurons
dc.typeTechnical report
dc.type.dcmiText
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