Dynamics of Neural Systems Lab
Our brains and AI systems solve computational challenges in a distributed manner, across neurons and across brain areas, encoded in the collective activity of neural populations. Our research seeks to understand the dynamical processes underpinning neural computations to derive algorithmic principles shared by these fundamentally different systems. We believe that understanding how the brain orchestrates the dynamics of its neurons to perform complex computations will lead to a deeper understanding of intelligence and behaviour.
We are motivated by two synergistic aims:
1. Developing novel methods using theoretical machine learning, geometry and dynamical systems theory for discovering better models of how the brain works.
2. Reverse-engineering the dynamical systems that underpin cognitive processes to develop more advanced AI systems that benefit clinical applications such as brain-machine interfaces.
Gosztolai group
Lead: Adam Gosztolai
Bálint Király
Dennis Duncan