People

CBMM is committed to developing and supporting new interdisciplinary collaborations that will further our understanding of intelligence.

Videos
Support Us

Frederico Azevedo

Frederico

Azevedo

Research Scientist

Massachusetts Institute of Technology (MIT), Harvard Medical School

Associated Research Module:

Associated Research Thrust:

Advisor/s:

Gabriel Kreiman, Robert Desimone, Tomaso Poggio

Projects

Selectivity and invariance in dynamic movie stimuli

CBMM Publications

K. M. Villalobos, Štih, V., Ahmadinejad, A., Sundaram, S., Dozier, J., Francl, A., Azevedo, F., Sasaki, T., and Boix, X., “Do Neural Networks for Segmentation Understand Insideness?”. 2020.

K. M. Villalobos, Dozier, J., Stih, V., Francl, A., Azevedo, F., Poggio, T., Sasaki, T., and Boix, X., “Can Deep Neural Networks Do Image Segmentation by Understanding Insideness?”. 2018.