Neuroscience is increasingly a global challenge, with data and models produced by laboratories and research groups around the world. The US BRAIN Initiative and other large scale neural efforts are producing data at ever increasing scales, with the necessary capabilities to consolidate and analyze this data being increasingly appreciated by the global neuroscience community.
Sandia neuroscientists are contributing to the growing neuroinformatics communty's effort by developing tools and computational infrastructure to facilitate data sharing and collaboration between experimentalists and theorists. See sidebar for description of the N2A tool.
Neural Data Analytics
Consolidating the vast sources of neural data is only part of the challenge. Deriving insights from high throughput neural experiments and interpreting concepts across experiments are looming challenges to the neuroscience community. Sandia Neuroscience partners with experts around Sandia's computing community who both develop sophisticated data analytics methods and engineer computing systems to enable their use at large scale. Areas of interest include:
- Graph Analytics
- Image Processing
- Machine Learning
Vineyard CM, Verzi SJ, James CD, and Aimone JB – “Quantifying Neural Information Content: A Caste Study of the Impact of Hippocampal Adult Neurogenesis” Proceedings of the International Joint Conference on Neural Networks 2016
Rothganger F, Warrender CE, Trumbo D, and Aimone JB – “N2A: a novel computational tool for modeling from neurons to algorithms” Frontiers in Neural Circuits. January 2014