A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons

Frontiers in Computational Neuroscience

Peter ebeim Graben¹  Serafim eRodrigues² 

[1] Humboldt-Universität zu Berlin;University of Plymouth;

关键词: Biophysics;    field potentials;    neural networks;    Leaky Integrate-and-Fire Neuron;    current dipoles;    extracellular medium;   

DOI  :  10.3389/fncom.2012.00100

来源: DOAJ

【 摘 要 】

We present a biophysical approach for the coupling of neural network activity as resulting from proper dipole currents of cortical pyramidal neurons to the electric field in extracellular fluid. Starting from a reduced three-compartment model of a single pyramidal neuron, we derive an observation model for dendritic dipole currents in extracellular space and thereby for the dendritic field potential that contributes to the local field potential of aneural population. This work aligns and satisfies the widespread dipole assumption that is motivated by the "open-field" configuration of the dendritic field potential around cortical pyramidal cells. Our reduced three-compartment scheme allows to derive networks of leaky integrate-and-fire models, which facilitates comparison with existing neural network and observation models. In particular, by means of numerical simulations we compare our approach with an ad hoc model by Mazzoni et al. [Mazzoni, A., S. Panzeri, N. K. Logothetis, and N. Brunel (2008). Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons. PLoS Computational Biology, 4(12), e1000239], and conclude that our biophysically motivated approach yields substantial improvement.

【 授权许可】

Unknown