Estimation of single-neuron model parameters from spike train data
β Scribed by Randall D. Hayes; John H. Byrne; Steven J. Cox; Douglas A. Baxter
- Book ID
- 113813939
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 572 KB
- Volume
- 65-66
- Category
- Article
- ISSN
- 0925-2312
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π SIMILAR VOLUMES
The time course of the current driving action potential generation at a neuron investigated experimentally is in general not measurable directly. In this paper an indirect method is introduced that allows estimation of this unknown current time course using only spike train data. Assuming the leaky
## Abstract Previous studies have described magnetization transfer (MT) __Z__βspectra in terms of a twoβpool Bloch model, with six spinβsystem parameters __K__~__A__~, __F__, __T__~1__A__~, __T__~1__B__~, and __T__~2__B__~. By simulation, we show that a process including nonlinear constrained optim