" ... we present an automated pipeline based on evolutionary algorithms to quantitatively reproduce features of various classes of neuronal spike patterns using the Izhikevich model. Employing experimental data from Hippocampome.org, a comprehensive knowledgebase of neuron types in the rodent hippocampus, we demonstrate that our approach reliably fit Izhikevich models to nine distinct classes of experimentally recorded spike patterns, including delayed spiking, spiking with adaptation, stuttering, and bursting. ..."
Model Type: Neuron or other electrically excitable cell
Region(s) or Organism(s): Hippocampus
Cell Type(s): Abstract Izhikevich neuron
Model Concept(s): Bursting; Stuttering; Delay; Spike Frequency Adaptation
Simulation Environment: Java (web link to model)
Venkadesh S et al. (2018). Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers in neuroinformatics. 12 [PubMed]