As promising new methods gain footing in the lab, neuroscience datasets are becoming too large to practically manage.
At LeafLabs we're intimately familiar with the problem, as our recording technologies sit at the forefront of big data science. Aspen circumvents this bottleneck by integrating the acquisition, storage, and processing of experimental data into a unified architecture that combines principles from distributed systems and high-performance computing. The system is designed to support Lotus-scale data rates, Willow-scale storage, and team-wide collaborations.
