Acknowledgements

We were generously supported by these funding agencies

KKL is funded by the German Federal Ministry of Education and Research through the Tübingen AI Center (FKZ: 01IS18039A). FHS is supported by the Carl-Zeiss-Stiftung and acknowledges the support of the DFG Cluster of Excellence “Machine Learning – New Perspectives for Science”, EXC 2064/1, project number 390727645. This work was supported by an AWS Machine Learning research award to FHS. Mohammad Bashiri and SAC were supported by the International Max Planck Research School for Intelligent Systems.

This research was supported by supported by National Institutes of Health (NIH) via National Eye Insitute (NEI) grant RO1-EY026927, NEI grant T32-EY002520, National Institute of Mental Health (NIMH) and National Institute of Neurological Disorders and Stroke (NINDS) grant U19-MH114830, and NINDS grant U01-NS113294. This research was also supported by National Science Foundation (NSF) NeuroNex grant 1707400. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, NEI, NIMH, NINDS, or NSF.

This research was supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior/Interior Business Center (DoI/IBC) contract no. D16PC00003, and with funding from the Defense Advanced Research Projects Agency (DARPA), Contract No. N66001-19-C-4020. The US Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, DARPA, or the US Government.