Matthew is a researcher interested in how neural circuits transmit and transform incoming sensory signals, allowing us to perceive and interact with our surroundings.
He addresses this question by constructing theoretical models of neural activity in low-level visual areas, such as the retina and primary visual cortex. He uses these models to discover principles that account for the observed patterns of neural activity in these areas. For example, neurons in low-level visual areas are thought to encode simple aspects of visual scenes, such as local motion, and changes in contrast. He is interested in understanding how they do this, and how such functional objectives play a role in determining the dynamics and connectivity of neural circuits.

For more details visit Matthew’s personal webpage:




Back to the team