Time delays and development (COGSI 2013) - We use a recurrent neural network in time to show that effects of time delays, when predictable, are highly over-stated--they can be overcome through predictive learning, one of the fundamental features of the brain.

In this project, we argue that unreliable time delays cannot be overcome by such means, suggest that unreliable delays exist early in mammalian development, and argue that this effect is exacerbated more in humans than any other animal.

Current project: The Ringo model never actually tested whether varying interhemispheric projections affects lateralization. We are testing this by using RSA--representational similarity analysis--to see whether information in each hemisphere is more or less similar as we manipulate connections between them.

Representative posters and talks:

• SfN 2014 (Dynamic Poster)
• NCPW 2014 (Talk Slides)
• COGSCI 2013 (Talk Slides)