Abstract
Improve performances of existing recognition computer vision algorithms with biological concepts. The gain are expected in the following: Recognition latency and accuracy (faster and better), less data needed to train algorithms and of decreased power consumption.)
Publication
Doc2AMU Doctoral Day - 2017-10-13
- see a follow-up in:
- more about the role of top-down connections:
![Victor Boutin](/author/victor-boutin/avatar_hu62466ba3e7e9350adb0660c092ee2d84_6203531_270x270_fill_q75_lanczos_center.jpg)
CNRS researcher at CerCo (Toulouse, France).
Phd in Computational Neuroscience
![Angelo Franciosini](/author/angelo-franciosini/avatar_huf20cb217f6bf92656c2488dfbefe1a2d_4587_270x270_fill_q75_lanczos_center.jpg)
Biomedical Engineer @ Avicenna.AI.
Phd candidate in Computational Neuroscience
![Laurent U Perrinet](/author/laurent-u-perrinet/avatar_hu866584b57dba850dec3785d1c70ce9f5_843311_270x270_fill_lanczos_center_3.png)
Researcher in Computational Neuroscience
My research interests include Machine Learning and computational neuroscience applied to Vision.