LFPykit

This Python module contain freestanding implementations of electrostatic forward models incorporated in [LFPy] (https://github.com/LFPy/LFPy)(docs).

The aim of the LFPykit module is to provide electrostatic models in a manner that facilitates forward-model predictions of extracellular potentials and related measures from multicompartment neuron models, but without explicit dependencies on neural simulation software such as NEURON, Arbor, or even LFPy. The LFPykit module can then be more easily incorporated with these simulators, or in various projects that utilize them such as LFPy, BMTK, etc.

Source Code
Contributors
TVN EH

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