Canonical Computation in Brains and Machines

A symposium at New York University, 16-18 March 2018

Do brains and machines think alike? The brain implements a set of canonical computations, repeated modularly across brain regions that apply the same operations to different problems. Brain-like computing has become common in AI and machine learning, where many of the same canonical computations have become standard.

How can neuroscience and artificial intelligence shape each other’s futures? To map the road ahead, this symposium will gather global leaders in neuroscience and artificial intelligence. Speakers will not only describe their work but also share their thoughts on the best path going forward.

This symposium caps a series of three previous workshops on Canonical Neural Computation, and is supported by the NYU Global Institute for Advanced Study.

Confirmed speakers