Symmetries, non-Euclidean metrics, and patterns in a Swift–Hohenberg model of the visual cortex
Work
Year: 2008
Type: article
Source: Biological Cybernetics
Institutions Osaka University, Commonwealth Scientific and Industrial Research Organisation, University of Edinburgh
Cites: 28
Cited by:
Related to: 10
FWCI:
Citation percentile (by year/subfield):
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: closed