" ... We use models of conductance-based neurons constrained by experimentally observed characteristics with parameters varied within a physiologically realistic range. Our study shows that neuronal design of MSO cells does not compromise on function, but favors energetically less costly cell properties where possible without interfering with function."
Model Type: Neuron or other electrically excitable cell
Region(s) or Organism(s): Brainstem
Cell Type(s): Medial Superior Olive (MSO) cell
Currents: I_KLT; I K,leak; I Na, leak
Model Concept(s): Sensory coding; Coincidence Detection; Influence of Dendritic Geometry; Membrane Properties; Synaptic Integration
Simulation Environment: C or C++ program; MATLAB
Implementer(s): Remme, Michiel [michiel.remme at gmail.com]
References:
Remme MWH, Rinzel J, Schreiber S. (2018). Function and energy consumption constrain neuronal biophysics in a canonical computation: Coincidence detection. PLoS computational biology. 14 [PubMed]