Large-scale extraction of brain connectivity from the neuroscientific literature.

ABSTRACT:

Motivation

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles. One challenge for modern neuroinformatics is finding methods to make the knowledge from the tremendous backlog of publications accessible for search, analysis and the integration of such data into computational models. A key example of this is metascale brain connectivity, where results are not reported in a normalized repository. Instead, these experimental results are published in natural language, scattered among individual scientific publications. This lack of normalization and centralization hinders the large-scale integration of brain connectivity results. In this article, we present text-mining models to extract and aggregate brain conne

SUBMITTER: Richardet R 

PROVIDER: S-EPMC4426844 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature