Mapping causality in neuronal activity: New method uses spike train data to identify connections by Tokyo University of Science edited by Gaby Clark, reviewed by Robert Egan Editors' notes The GIST ...

Granger causality is a commonly used approach for network inference in neural systems. Recent advances in the field allow for the analysis of high-dimensional and nonlinear systems through the use of ...

This paper presents a new methodology for characterising the evolving behaviour of the time-varying causality between multivariate time series, from the perspective of change in the structure of the ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...