The Computational and Theoretical Neuroscience Research Group (CTNRG) brings together theoretical and experimental researchers from across Duke who are interested in understanding and developing formal mathematical models to describe the brain’s processing of information. The aims of the group are to increase the community’s understanding of computational and theoretical approaches to studying the brain, to share ongoing research, and to foster collaborations, especially between theorists and experimentalists.
The group meets Thursdays from 12-1 p.m. in Bryan Research 301, alternating between presentations of ongoing work from both local and external speakers and journal club discussions of recent published work in the field. The group is funded and administered by the Duke Institute for Brain Sciences, and is open to anyone who is interested in attending. For more information or to have your name added to the listserv, please contact co-convener Nic Brunel at firstname.lastname@example.org.
Please note: Arrangements for fall 2021 of the CTNRG are still being finalized. This page will be updated when they are complete. Thank you in advance for your understanding.
10/7 Achint Kumar, Journal Club Kline, A.G., & Palmer, S.E. (2021). "Gaussian Information Bottleneck and the non-Perturbative Renormalization Group." arXiv:2107.13700
11/4 Taro Toyoizumi (RIKEN), Topic title TBA
11/18 Eva Dyer (Georgia Tech), Topic title TBA
12/2 Jeff Beck (Duke University), Topic title TBA