Computing LFP from biophysical models of neurons and neural microcircuits

Local Field Potentials (LFP) allow interpretations of patterns of information generated by neuronal populations. LFPs are Low frequency (<;300 Hz) population signals recorded with glass or metal electrodes and are known to be generated by complex spatiotemporal interactions of synaptic stimuli in combination with sink-source behavior in the circuit. Computational reconstruction of local field potentials allows to constrain detailed neuronal models and network microcircuits and study the function and dysfunctions via simulations. In this paper, we present a comparison of various methods and tools available for LFP computations in single neurons and populations of cells. We compare our LFPsim and ReConv methods to LFPy, VERTEX while mathematically computing local field potentials in single neurons and network models made with detailed multi-compartmental models and available through databases like ModelDB.