| Paper: | PS-2B.12 |
| Session: | Poster Session 2B |
| Location: | Symphony/Overture |
| Session Time: | Friday, September 7, 19:30 - 21:30 |
| Presentation Time: | Friday, September 7, 19:30 - 21:30 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
Optimizing deep video representation to match brain activity |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1071-0 |
| Authors: |
Hugo Richard, Ana Luisa Pinho, Bertrand Thirion, Guillaume Charpiat, Inria, France |
| Abstract: |
The comparison of observed brain activity with the statis- tics generated by artificial intelligence systems is useful to probe brain functional organization under ecological condi- tions. Here we study fMRI activity in ten subjects watching color natural movies and compute deep representations of these movies with an architecture that relies on optical flow and image content. The association of activity in visual ar- eas with the different layers of the deep architecture displays complexity-related contrasts across visual areas and reveals a striking foveal/peripheral dichotomy. |
