Georgia Institute of Technology College of Sciences

The brain performs efficient, adaptable, and robust computations of noisy sensory information in changing environments. While artificial neural networks have achieved remarkable successes in recent years, the brain's computational capacity is yet to be matched. To understand mechanisms underlying the exquisite computational efficiency and flexibility of the brain, complex architecture and dynamics of the biological neural networks should be studied. In this talk, I will give a broad overview of recent research projects from my group, that investigate links between neural coding and network structures using data-driven modeling.