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What Is the Most Realistic Single-Compartment Model of Spike Initiation?
Author(s) -
Romain Brette
Publication year - 2015
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1004114
Subject(s) - compartment (ship) , variety (cybernetics) , computer science , sort , range (aeronautics) , computational neuroscience , spike (software development) , statistical physics , empirical modelling , realism , computational model , artificial intelligence , axon , cognitive science , neuroscience , physics , biology , epistemology , psychology , philosophy , simulation , oceanography , materials science , software engineering , composite material , information retrieval , geology
A large variety of neuron models are used in theoretical and computational neuroscience, and among these, single-compartment models are a popular kind. These models do not explicitly include the dendrites or the axon, and range from the Hodgkin-Huxley (HH) model to various flavors of integrate-and-fire (IF) models. The main classes of models differ in the way spikes are initiated. Which one is the most realistic? Starting with some general epistemological considerations, I show that the notion of realism comes in two dimensions: empirical content (the sort of predictions that a model can produce) and empirical accuracy (whether these predictions are correct). I then examine the realism of the main classes of single-compartment models along these two dimensions, in light of recent experimental evidence.

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