Scientific data analysis pipelines are complex. We contribute to the open source tool DataJoint to make scientific analysis efficient and reproducible.


Lab members are shown in this color. Preprints are shown in this color.


Dimitri Yatsenko, Thinh Nguyen, Shan Shen, Kabilar Gunalan, Christopher A. Turner, Raphael Guzman, Maho Sasaki, Daniel Sitonic, Jacob Reimer, Edgar Y. Walker, Andreas Tolias DataJoint Elements: Data Workflows for Neurophysiology bioRxiv

Oct 2018 - Neuronal Intelligence Lab Start


D. Yatsenko, J. Reimer, A. S. Ecker, E. Y. Walker, F. Sinz, P. Berens, A. Hoenselaar, R. J. Cotton, A. S. Siapas, A. S. Tolias DataJoint: managing big scientific data using MATLAB or Python biorxiv