Brains@Bay Meetup - An Exploration of Grid Cells in Machine Learning (Jun 7, 2021)

To learn more about Brains@Bay, visit our Meetup page: https://www.meetup.com/Brains-Bay/

Brains@Bay Meetups focus on how neuroscience can inspire us to create improved artificial intelligence and machine learning algorithms. 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: https://www.meetup.com/BraIns-Bay/eve...

0:00 Introduction
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
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Numenta is leading the new era of machine intelligence. Our deep experience in theoretical neuroscience research has led to tremendous discoveries on how the brain works. We have developed a framework called the Thousand Brains Theory of Intelligence that will be fundamental to advancing the state of artificial intelligence and machine learning. By applying this theory to existing deep learning systems, we are addressing today’s bottlenecks while enabling tomorrow’s applications. 

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