Research

Computational models of invariant object recognition

Understanding the processing of information in our cortex is a significant part of understanding how the brain works and understanding intelligence itself. For example, vision is one of our most developed senses. Primates easily categorize images or parts of images, as in, say, an office scene or a face within a scene, identifying specific objects. Our visual capabilities are exceptional, and, despite decades of engineering, no computer algorithm is yet able to match the performance of the primate visual system.

Computational models of attention and eye movements

The past four decades of research in visual neuroscience have generated a large and disparate body of literature on attention. Although several computational models have been developed to describe specific phenomena, a theoretical framework that explains the computational role of attention, while predicting and being consistent with known biological effects, is lacking.

HMDB: A large-scale Human Motion Database

We collected the largest action video database to-date with 51 action categories and around 7,000 manually annotated clips extracted from a variety of sources ranging from digitized movies to YouTube.

Automated monitoring and analysis of rodent behavior

Neurobehavioural analysis of mouse phenotypes requires the monitoring of mouse behaviour over long periods of time. We are currently developing trainable computer vision systems enabling the automated analysis of complex mouse behaviors. Link to RNDB site