In this Brains@Bay meetup, we focused on grid cells and how they act as an inspiration for machine learning architectures.
Numenta Senior Researcher Marcus Lewis started us off with a basic overview of grid cells and then dove into using grid cells and other cells to quickly form spatial memories.
Next, James Whittington, Postdoctoral Research Associate at University of Oxford talked about unifying space and relational memory in the hippocampal formation.
Finally, Kimberly Stachenfeld, Research Scientist at DeepMind, presented a relational view of grid cells in which grid cells represent geometry over graphs.
Professor Tim Behrens from University of Oxford joined us for the discussion.
Link to Meetup: An Exploration of Grid Cells in Machine Learning | Meetup
2:02 Marcus Lewis: Grid cell intro + Quickly forming structured memories
34:32 James Whittington: Generalisation in the hippocampal formation
1:03:17 Kimberly Stachenfeld: Representation Learning with Grid Cells
1:46:16 Discussion + Q&A