LEARNED STEP SIZE QUANTIZATION
Steven K. Esser, Jeffrey L. McKinstry, et al.
ICLR 2020
Volumetric, slice-based, 3-D atlases are invaluable tools for understanding complex cortical convolutions. We present a simple scheme to convert a slice-based atlas to a conceptual surface atlas that is easier to visualize and understand. The key idea is to unfold each slice into a one-dimensional vector, and concatenate a succession of these vectors - while maintaining as much spatial contiguity as possible - into a 2-D matrix. We illustrate our methodology using a coronal slice-based atlas of the Rhesus Monkey cortex. The conceptual surface-based atlases provide a useful complement to slice-based atlases for the purposes of indexing and browsing. © 2009 Modha.
Steven K. Esser, Jeffrey L. McKinstry, et al.
ICLR 2020
Paul Merolla, John Arthur, et al.
CICC 2011
Inderjit S. Dhillon, Dharmendra S. Modha, et al.
CSDA
Filipp Akopyan, Jun Sawada, et al.
IEEE TCADIS