title: Predicting spike timings of current-injected neurons.
abstract: Typical neurospiking models were examined on the ability to reproduce and predict the spike sequences of a biological neuron for a variety of fluctuating currents, using a fixed set of parameter values. The predicting accuracy was found to be particularly good for the Hodgkin-Huxley models augmented with the Ca(2+)-dependent potassium current generating slow afterhyper-polarization and/or the muscarine-sensitive potassium current. In the successful parameter determination method, the effective membrane time constant is estimated very short, typically about 5 ms. The biological neurons we examined were distinctly classified into two types according to the estimated percent contents of those ionic channels.
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Tsubo
authors.forename: Takeshi
authors.initials: T
authors.lastname: Kaneko
authors.forename: Shigeru
authors.initials: S
authors.lastname: Shinomoto
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D066298:In Vitro Techniques; D008297:Male; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D011237:Predictive Value of Tests; D051381:Rats; D017208:Rats, Wistar; D013997:Time Factors