Computational model
eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020)
Tanguy Fardet [1121175]
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:
  • Abstract integrate-and-fire adaptive exponential (AdEx) neuron Show Other
  • Abstract integrate-and-fire leaky neuron Show Other
  • Abstract integrate-and-fire neuron Show Other
  • Neuron or other electrically excitable cell Show Other
Tanguy Fardet [tanguy.fardet at]
@article{Fardet2020, title = {Simple Models Including Energy and Spike Constraints Reproduce Complex Activity Patterns and Metabolic Disruptions}, author = {Fardet, Tanguy and Levina, Anna}, year = {2020}, journal = {PLOS Computational Biology}, volume = {16}, number = {12}, pages = {e1008503}, publisher = {{Public Library of Science}}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1008503}, url = {}, abstract = {In this work, we introduce new phenomenological neuronal models (eLIF and mAdExp) that account for energy supply and demand in the cell as well as the inactivation of spike generation how these interact with subthreshold and spiking dynamics. Including these constraints, the new models reproduce a broad range of biologically-relevant behaviors that are identified to be crucial in many neurological disorders, but were not captured by commonly used phenomenological models. Because of their low dimensionality eLIF and mAdExp open the possibility of future large-scale simulations for more realistic studies of brain circuits involved in neuronal disorders. The new models enable both more accurate modeling and the possibility to study energy-associated disorders over the whole time-course of disease progression instead of only comparing the initially healthy status with the final diseased state. These models, therefore, provide new theoretical and computational methods to assess the opportunities of early diagnostics and the potential of energy-centered approaches to improve therapies.}, keywords = {Action potentials,Behavior,Bioenergetics,Depolarization,Dynamical systems,Membrane potential,Neurons,Single neuron function} }
Other categories referring to eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020)
Revisions: 3
Last Time: 11/26/2021 11:28:28 AM
Reviewer: System Administrator
Owner: Tanguy Fardet