Abstract
We describe a software package that allows for efficient simulation of current flow through neurons. Nemosys was specifically designed to model single neurons with complex geometries at the level of currents and voltages in individual branches. Neurons are represented as binary branched tree structures, where branches are constructed from linear strings of compartments. The program is set up to allow the user to simulate typical electrophysiological experimental protocols such as current clamp and voltage clamp. An implicit scheme of integration which takes advantage of the branched tree structure of the neuron is used to update the voltages and currents in each neuron at each timestep. One of the major computational benefits of this method is that time scales linearly with the number of compartments used to represent the neurons. Furthermore, voltage updates are decoupled from the conductance updates, so arbitrary conductances or synaptic connections can be incorporated easily, efficiently and stably. Nemosys can also be extended to allow simulations of networks of neurons.
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© 1994 Springer Science+Business Media New York
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Eeckman, F.H., Theunissen, F.E., Miller, J.P. (1994). NeMoSys: A System for Realistic Single Neuron Modeling. In: Skrzypek, J. (eds) Neural Network Simulation Environments. The Kluwer International Series in Engineering and Computer Science, vol 254. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2736-7_7
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DOI: https://doi.org/10.1007/978-1-4615-2736-7_7
Publisher Name: Springer, Boston, MA
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