Andrew S. Cassidy, John V. Arthur, et al.
ISSCC 2024
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.
Andrew S. Cassidy, John V. Arthur, et al.
ISSCC 2024
Andrew S. Cassidy, Rodrigo Alvarez-Icaza, et al.
SC 2014
Steven K. Esser, Rathinakumar Appuswamy, et al.
NeurIPS 2015
Steve K. Esser, Anthony Ndirango, et al.
IJCNN 2010