Andreas G. Andreou, Andrew A. Dykman, et al.
ISCAS 2016
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.
Andreas G. Andreou, Andrew A. Dykman, et al.
ISCAS 2016
Dharmendra S. Modha, W. Scott Spangler
Machine Learning
Sorav Bansal, Dharmendra S. Modha
FAST 2004
Alexander Andreopoulos, Michael V. Debole, et al.
HPEC 2025