Open source tools for large-scale neuroscience

In this talk given as part of the 2016 Models, Inference & Algorithms series, Jeremy Freedman explores how modern computing and the web are both enabling and changing how we do science. Using neuroscience as an example, Freeman highlights some of these developments, spanning a number of diverse technologies. He discusses distributed computing for data analytics, cloud computing and containerization for reproducibility, peer-to-peer networks for sharing data and knowledge, functional reactive programming for hardware control, and webgl for large-scale interactive experiments. Featured in:  Also available on  


Link to Full Article: Open source tools for large-scale neuroscience