Computational Models of Cognition: Part 3 (41:13)
- Brains, Minds and Machines Summer Course 2018
Josh Tenenbaum, MIT
In this third lecture, Josh Tenenbaum first provides an overview of recent efforts to formulate neurally plausible models for face recognition, intuitive physics, and psychology, that integrate the probabilistic programming framework with deep neural networks. Some preliminary results of empirical studies provide hints about the brain areas that may be engaged in these computations. The final part of this lecture reflects on how the understanding of intuitive physics is learned from infancy through childhood.