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| Neural field effects, such as ephaptic interactions, can be described by a closed-loop between neural activity and the surrounding electromagnetic field: active neurons generate their characteristic electric dipole fields which superimpose to the local field potential (LFP) of a coherent neural population. This endogenous electric activity could feed back on the activation threshold of the individual neurons. Sofar, this mechanism has been described by phenomenological mean field models, disregarding the biophysical details of electric dipole field generation. We suggest to close this gap by a spatially extended model of a simple leaky integrate-and-fire (LIF) neuron. Introducing three compartments for the apical dendritic tree, for the perisomatic dendritic tree and for the axon hillock, we derive the standard LIF evolution equation augmented by an observation model of the dendritic field potential that allows estimation of the LFP of a neural population. We present simulation results of the forward model and indicate possible ways for the closed-loop approach toward ephaptic field effects.
Reference:
beim Graben, P. & Rodrigues, S. (2013). A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons. Frontiers in Computational Neuroscience, 6. |
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