1 citations · 1 across the 2 of their papers we have counts for
3 papers
Nanoscale Connectomics Annotation Standards Framework
Nicole K. Guittari, Miguel E. Wimbish, Patricia K. Rivlin +8
The promise of large-scale, high-resolution datasets from Electron Microscopy (EM) and X-ray Microtomography (XRM) lies in their ability to reveal neural structures and synaptic co…
EM and XRM Connectomics Imaging and Experimental Metadata Standards
Miguel E. Wimbish, Nicole K. Guittari, Victoria A. Rose +8
High resolution volumetric neuroimaging datasets from electron microscopy (EM) and x-ray micro and holographic-nano tomography (XRM/XHN) are being generated at an increasing rate a…
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha +17
Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a critical need for defense a…