Extending integrate-and-fire model neurons to account for the effects of weak electric fields and input filtering mediated by the dendrite
Florian Aspart, Josef Ladenbauer, Klaus Obermayer

TL;DR
This paper develops an extended integrate-and-fire neuron model that incorporates dendritic effects and electric field influences, enabling more accurate simulations of neuronal responses to external stimulation and synaptic inputs.
Contribution
The authors derive an extension for point neuron models to include dendritic filtering and electric field effects, enhancing their biological realism and applicability.
Findings
Dendritic filters cause high-pass or low-pass responses depending on input location.
Electric fields induce spike rate resonance in beta and gamma bands.
Extended models accurately replicate responses of spatial neuron models.
Abstract
How extracellular electric fields, as generated endogenously or through transcranial brain stimulation, affect the dynamics of large neuronal populations is of great interest but not well understood. To study the collective dynamics of large populations single-compartment (point) model neurons have been proven very successful. These models, however, lack the dendritic morphology to biophysically account for the effects of electric fields, and for changes in synaptic integration due to morphology alone. Here we (i) characterize the response of a canonical spatial (ball-and-stick) model neuron to fluctuating synaptic input as well as an oscillatory, weak electric field, and (ii) analytically derive an extension for popular integrate-and-fire point neuron models to accurately reproduce these responses. We obtain distinct filters mediated by the dendrite for inputs at the soma (high-pass…
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