**The ReCor Database**
The ReCoR program (**ANR Grant: ANR-12-JHS2-0002-01**) aims to investigate the visual and neural mechanisms (hemispheric specialization, retinotopic mapping and retino-cortical interaction) involved in the processing of natural scenes, and develop visual tests for the diagnosis of visual deficits and the monitoring of treatments in retinal diseases.
For this purpose, we use large scenes (1024 x 768 pixels) which cover a large part of the visual field (> 24° of visual angle) when displayed at a 70 cm viewing distance on a 17-inch computer monitor (with 1024 x 768 pixels definition).
The database is composed of a few hundred black and white photographs of scenes (256 grey scales) belonging to different semantic categories. Photographs were taken with personal digital cameras.
Publications utilizing images selected from the database:
- Ramanoël, S., Chokron, S., Hera, R., Kauffmann, L., Chiquet, C., Krainik, A., & Peyrin, C. (2018). Age-related macular degeneration changes the perception of scenes in the brain. Visual Neuroscience, 35. doi : https://doi.org/10.1017/S0952523817000372
- Roux-Sibilon, A., Rutgé, F., Aptel, F., Attye, A., Guyader, N., Boucart, M., Chiquet, C., & Peyrin, C. (2018). Scene and human face recognition in the central vision of patients with glaucoma. PLoS One, 13(2):e0193465. https://doi.org/10.1371/journal.pone.0193465.
- Peyrin, C., Ramanoël, S., Roux-Sibilon, A., Chokron, S., & Hera, R. (2017). Scene perception in age-related macular degeneration : Effect of spatial frequencies and contrast in residual vision. Vision Research, 130, 36-47.
- Ramanoël, S., Kauffmann, L., Dojat, M., Cousin, E., & Peyrin, C. (2015). Age-related differences in spatial frequency processing during scene categorization. PLoS One, 10(8):e0134554. https://doi.org/10.1371/journal.pone.0134554.
- Kauffmann, L., Chauvin, A., Pichat, C., & Peyrin, C. (2015). Effective connectivity in the neural network underlying coarse-to-fine categorization of visual scenes. A dynamic causal modeling study. Brain and Cognition, 99, 46-56. doi : 10.1016/j.bandc.2015.07.004.
- Kauffmann, L., Ramanoël, S., Guyader, N., Chauvin, A., & Peyrin, C. (2015). Spatial frequency Processing in scene-selective cortical regions. NeuroImage, 112, 86-95.
- Kauffmann, L., Chauvin, A., Guyader, N., & Peyrin, C. (2015). Rapid scene categorization : Role of spatial frequency order, accumulation and luminance contrast. Vision Research, 107, 49-57.
- Musel, B., Kauffmann, L., Ramanoël, S., Giavarini, C., Guyader, N., Chauvin, A., & Peyrin, C. (2014). Coarse-to-Fine categorization of visual scenes in scene-selective cortex. Journal of Cognitive Neuroscience, 26 (10), 2287-2297.
- Musel, B., Bordier, C., Dojat, M., Pichat, C., Chokron, S., Le Bas, J.F., & Peyrin, C. (2013). Retinotopic and lateralized processing of spatial frequencies in human visual cortex during scene categorization. Journal of Cognitive Neuroscience, 25 (8), 1315-1331.
- Musel, B., Chauvin, A., Guyader, N., Chokron, S., & Peyrin, C. (2012). Is coarse-to-fine strategy sensitive to normal aging ? PLoS One, 7 (6) : e38493.
- Musel, B., Hera, R., Chokron, S., Alleysson, D., Chiquet, C., Romanet, J.P., Guyader, N., & Peyrin, C. (2011). Residual abilities in age-related macular degeneration patients to process spatial frequencies during natural scenes categorization. Visual Neuroscience, 28, 529-541.
