LFPy provides a set of easy-to-use Python classes for setting up your model, running your simulations and calculating the extracellular potentials arising from activity in your model neuron. If you have a model working in NEURON already, it is likely that it can be adapted to work with LFPy.
The extracellular potentials are calculated from transmembrane currents in multi-compartment neuron models using the line-source method (Holt & Koch, J Comp Neurosci 1999), but a simpler point-source method is also available. The calculations assume that the neuron are surrounded by an infinite extracellular medium with homogeneous and frequency independent conductivity, and compartments are assumed to be at least at a minimal distance from the electrode (which can be specified by the user). For more information on the biophysics underlying the numerical framework used see this coming book chapter:
In the present version LFPy is mainly designed for simulation of single neurons, but the forward modeling scheme is in general applicable to neuronal populations.
LFPy was developed in the Computational Neuroscience Group, Department of Mathemathical Sciences and Technology, at the Norwegian University of Life Sciences , in collaboration with the Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology, Warsaw, Poland. The effort was supported by International Neuroinformatics Coordinating Facility (INCF), The Research Council of Norway (eScience, NevroNor) and EU-FP7 (BrainScaleS).
This scientific software is released under the GNU Public License GPLv3.
As part of the CNS 2013 meeting workshop Modeling and interpretation of extracellular potentials, there was a talk on LFPy. The slides can be found here: lfpy-tutorial_2013.pdf.