We’re having our next Brains@Bay meetup next week, Wednesday August 26 at 10am PDT. The topic is The role of active dendrites in learning, looking at it from a neuroscience and computational perspective. Matthew Larkum (from Larkum Lab) and Ilenna Jones (from Kording Lab) will both present, followed by a panel discussion. If you can’t join live, we’ll share the recording after the event.
To complement, we’ve also added Blake Richards. He will argue that dendrites are not required at an algorithmic level, so the importance of dendrites to machine learning will largely be with respect to neuromorphic chips rather than new AI algorithms.
We are in for a great discussion, it will be great to see you there!
Brains@Bay Meetups focus on how neuroscience can inspire us to create improved artificial intelligence and machine learning algorithms. In this meetup, we focus on the role of active dendrites in learning from a neuroscience and a computational perspective.
First, Matthew Larkum (Larkum Lab) gives us an overview on the main advances in active dendrites over the last two decades.
Then, Illenna Jones (Kording Lab) presents her new, exciting research on computational power of biological dendritic trees.
Finally, Blake Richards (Linc Lab) argues that dendrites solve an implementation problem for brains, but they are not necessary at the algorithmic level, and the importance for ML is largely with respect to neuromorphic chips.