Brette Romain
Institut d'Etudes de la Cognition, Ecole Normale Supérieure, Paris, France; Sorbonne Universités, UPMC Univ. Paris 06, UMR_S 968, Institut de la Vision, Paris, France; INSERM, U968, Paris, France; CNRS, UMR_7210, Paris, France.
PLoS Comput Biol. 2015 Apr 9;11(4):e1004114. doi: 10.1371/journal.pcbi.1004114. eCollection 2015 Apr.
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.
在理论和计算神经科学中使用了各种各样的神经元模型，其中单室模型是一种很受欢迎的类型。这些模型没有明确包含树突或轴突，范围从霍奇金-赫胥黎（HH）模型到各种类型的积分发放（IF）模型。主要的模型类别在产生尖峰的方式上有所不同。哪一个是最现实的呢？从一些一般的认识论考虑出发，我表明现实主义的概念有两个维度：经验内容（模型能够产生的预测类型）和经验准确性（这些预测是否正确）。然后，根据最近的实验证据，我沿着这两个维度考察了主要单室模型类别的现实主义。
