2001
DOI: 10.1177/107385840100700207
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Neuron: A Tool for Neuroscientists

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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Cited by 589 publications
(491 citation statements)
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“…GENESIS (102) (an acronym of GEneral NEural SImulation System) was one of the first systems developed for the simulation of biologically realistic models at different levels, ranging from subcellular components and biochemical reactions, to single neurons, large networks, and complete systems models. An analogous simulation environment is NEU-RON (108,119). Both provide ways to construct, test, and manage models, such that expertise in numerical methods or programming is not required for productive use.…”
Section: Simulation Toolsmentioning
confidence: 99%
“…GENESIS (102) (an acronym of GEneral NEural SImulation System) was one of the first systems developed for the simulation of biologically realistic models at different levels, ranging from subcellular components and biochemical reactions, to single neurons, large networks, and complete systems models. An analogous simulation environment is NEU-RON (108,119). Both provide ways to construct, test, and manage models, such that expertise in numerical methods or programming is not required for productive use.…”
Section: Simulation Toolsmentioning
confidence: 99%
“…Modeling programs like MCell (Stiles et al, 2001), Neuron (Hines and Carnevale, 2001), and Genesis (Bower and Beeman, 1998) can accommodate realistic branching structures and surface morphologies such as those contained in the CCDB. Surface reconstructions derived from electron tomographic 3D volumes are now being used as the basis for functional simulations of molecular diffusion and interactions using MCell, a powerful Monte Carlo-based modeling package created for simulation of cellular microdomains (Stiles et al, 2001).…”
Section: Resource For Modelersmentioning
confidence: 99%
“…Simulations were performed using Neuron (Hines and Carnevale, 2001). For passive simulations, parameters were R m ϭ 50,000 ⍀cm 2 , C m ϭ 1.2 F/cm 2 , R i ϭ 70 ⍀cm.…”
Section: Methodsmentioning
confidence: 99%