Conferences - Seminars
14:00-15:00 Campus Biotech, B1.05_Videoconf
We introduce a novel data-driven approach to discover and decode features in the neural code coming from large population neural recordings with minimal assumptions, using cohomological learning. We apply our approach to neural recordings of mice moving freely in a box, where we find a circular feature. We then observe that the decoded value corresponds ... Read more about "Decoding of neural data using cohomological learning"
By Erik Rybakken (NTNU)
14:15-15:15 MA A1 12
By Prof. Paolo Marcellini, University of Firenze