Computational Neuroscience aims to understand how the brain works using mathematical tools and theories. In our group, we perform research projects on three key questions: (1) how neural interactions can be estimated, (2) how cell ensembles can be detected, and (3) how the hippocampal-cortical communication can be modelled. I will provide an overview of these projects, with a focus on the computational approaches utilizing information geometry for Project (1), unsupervised cell ensemble detection for Project (2), and modelling with the modern Hopfield nets and deep belief nets for Project (3). I will discuss how these studies contribute to our understanding of brain functions and how Computational Neuroscience is related to Artificial Intelligence/Machine Learning.
Contact:
Saurya Das | saurya.das@uleth.ca | 403-329-2689 | scholar.ulethbridge.ca/sauryadas/home
