Tomaso Poggio

Title: Learning: neuroscience and engineering applications

Abstract:

The problem of learning is one of the main gateways to making intelligent machines and to understanding how the brain works. In this
talk I will sketch a model of the ventral stream of the visual cortex in primates, describing how the brain may learn to recognize objects, and show that the resulting model is capable of performing recognition on datasets of complex images at the level of human performance in rapid categorization tasks. The model performs surprisinfly well when compared with state-of-art computer vision systems in categorization of complex images, suggestiong that neuroscience may begin to effectively guide engineering efforts in the domain of vision.

Relevant papers can be downloaded from http://www.ai.mit.edu/projects/cbcl/publications/all-year.html