Function and energy constrain neuronal biophysics in coincidence detection (Remme et al 2018)

" ... 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]


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]

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