NEURON: a tool for neuroscientists

TitleNEURON: a tool for neuroscientists
Publication TypeJournal Article
Year of Publication2001
AuthorsHines, M. L., and Carnevale N. T.
JournalThe Neuroscientist
Volume7
Pagination123–135
Abstract

NEURON is a simulation environment for models of individual neurons and networks of neurons that are closely linked to experimental data. NEURON provides tools for conveniently constructing, exercising, and managing models, so that special expertise in numerical methods or programming is not required for its productive use. This article describes two tools that address the problem of how to achieve computational efficiency and accuracy.

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Preprint available as spacetime_rev2.pdf, and here is a derivation of the formula for the AC length constant
Explains and demonstrates powerful strategies for improving spatiotemporal accuracy without excessive computational burden.
1. The d_lambda criterion, a simple but very effective method for specifying the spatial grid.
2. Variable order / variable timestep integration with CVODE.