id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_elmaflicdnc2vebt2ob4pn7fve	Lauren N. Ross	Dynamical Models and Explanation in Neuroscience	2015	24	.pdf	application/pdf	9199	566	45	mathematical models in dynamical systems neuroscience. dynamical systems neuroscience and used in understanding neural behavior. systems neuroscience, Kaplan and Craver extend it to all models in dynamical model, and how it is used to represent neural systems. In dynamical systems neuroscience, neural excitability is understood and topological structures of dynamical models that represent these systems. models that abstract from the molecular details of neural systems, while (Tateno 2004; Jia, Gu, and Li 2011; Connor 1975; Cauli, Audinat, Lambolez, Angulo, Ropert, Tsuzuki, Hestrin, and Rossier 1997). canonical model for class I excitability (Hoppensteadt and Izhikevich 1997, explains why physically distinct neural systems all share the same behavior explanations provided by the canonical model approach. not to say that the model does not represent or map onto neural systems in account for the explanations provided by the canonical model approach and Dynamical and Mathematical Models in Neuroscience: A Mechanistic	./cache/work_elmaflicdnc2vebt2ob4pn7fve.pdf	./txt/work_elmaflicdnc2vebt2ob4pn7fve.txt