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

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" ... 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."
1 . Remme MWH, Rinzel J, Schreiber S (2018) Function and energy consumption constrain neuronal biophysics in a canonical computation: Coincidence detection. PLoS Comput Biol 14:e1006612 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Brainstem;
Cell Type(s): Medial Superior Olive (MSO) cell;
Channel(s): I_KLT; I K,leak; I Na, leak;
Gap Junctions:
Simulation Environment: C or C++ program; MATLAB;
Model Concept(s): Sensory coding; Coincidence Detection; Influence of Dendritic Geometry; Membrane Properties; Synaptic Integration;
Implementer(s): Remme, Michiel [michiel.remme at];
Search NeuronDB for information about:  I K,leak; I_KLT; I Na, leak;
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