Investigators at Boston University Target Neural Computation

摘要

2011 SEP 26 - (VerticalNews.com) -- According to the authors of recent researchrnpublished in the journal Neural Computation, "We develop a general likelihood-basedrnframework for use in the estimation of neural firing rates, which is designed to choose therntemporal smoothing parameters that maximize the likelihood of missing data. This generalrnframework is algorithm-independent and thus can be applied to a multitude of establishedrnmethods for firing rate or conditional intensity estimation."