Computational Analysis of Research in Mammalian Neocortical Neurogenesis

Studies in neocortical neurogenesis have experienced an explosive growth since the early 2000s, measured by the increasing number of publications each year. I examine here the influence of Arnold Kriegstein in the field using Topic Modeling, a set of algorithms that can be applied to a collection of texts to elucidate the central themes of said collection. Using a Java-based software called MALLET, I obtained data for his corpus, and compared it to the texts of other researchers in the field. This latter collection, which I dub "General Corpus", was separated by year from 2000 to 2014.