The eLIF and mAdExp neurons respectively extend the leaky integrate-and-fire and adaptive exponential (AdExp) neuron models. They include a new variable modelling the availability of energy substrate and model constraints that energy availability may have on the subthreshold and spiking dynamics. In the paper, we show how these models can reproduce complex dynamics and prove especially useful to model metabolic disruption, for instance in large-scale models of epilepsy or other diseases with metabolic components, such as Alzheimer, or Parkinson. Git repository: https://git.sr.ht/~tfardet/elif-madexp
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Abstract integrate-and-fire adaptive exponential (AdEx) neuron; Abstract integrate-and-fire leaky neuron; Abstract integrate-and-fire neuron
Model Concept(s): Depolarization block; Anoxic depolarization; Energy consumption; Rebound firing; Simplified Models; Spike Frequency Adaptation
Simulation Environment: Brian 2; NEST; NEURON
References:
Fardet T, Levina A. (2020). Simple Models Including Energy and Spike Constraints Reproduce Complex Activity Patterns and Metabolic Disruptions PLoS computational biology. 16 [PubMed]