Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1 Laurent U Perrinet, David Fitzpatrick, James A Bednar Last updated on Dec 12, 2020 PDF Cite Slides See a followup in Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. Preprint PDF Cite Code DOI sparse coding Laurent U Perrinet Researcher in Computational Neuroscience My research interests include Machine Learning and computational neuroscience applied to Vision. James A Bednar Related Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1 Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences Edge co-occurrences can account for rapid categorization of natural versus animal images Edge co-occurrences are sufficient to categorize natural versus animal images Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1