In the future, networks of autonomous cars will interact to provide safer transportation and next generation personal digital assistants will sense human users and augment the performance of tasks. How can insights from biophysics research contribute to advances in autonomous systems and human computer interaction? This talk will cover two research areas: large scale computational models of the brain and simulation of emergent behavior in teams of autonomous systems. Understanding complex brain mechanisms such as reasoning, learning, attention and emotion through simulation can help us build better autonomous systems and improve brain state sensing for human computer interaction. Developing simulations that help understand emergent behavior is important for designing distributed control of teams of autonomous vehicles.

References:
A good overview of large scale models of the brain can be found here: http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf
A good overview of emergent behavior can be found here: https://arxiv.org/ftp/nlin/papers/0506/0506028.pdf