Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

BI 005 David Sussillo: RNNs are Back!

BI 005 David Sussillo: RNNs are Back!

FromBrain Inspired


BI 005 David Sussillo: RNNs are Back!

FromBrain Inspired

ratings:
Length:
46 minutes
Released:
Aug 2, 2018
Format:
Podcast episode

Description

Mentioned in the show:

David’s Twitter account
Papers we discuss:

Sussillo, D.S. & Abbott, L. F. (2009). Generating Coherent Patterns of Activity from Chaotic Neural Networks. Neuron 63(4).
Sussillo, D. (2014) Neural circuits as computational dynamical systems. Current Opinion in Neurobiology 25:156-63.
Sussillo, D. & Barak, O. (2013). Opening the Black Box: Low-dimensional dynamics in high-dimensional recurrent neural networks. Neural Computation 25(3).
Sussillo, D., Jozefowicz, R., Abbott, L.F., Pandarinath, C. (2016) LFADS – Latent Factor Analysis via Dynamical Systems. arXiv:1608.06315


What’s a recurrent neural network?

Here
And Here


What’s a dynamical system?
Neuropixels
Hopfield Networks
Released:
Aug 2, 2018
Format:
Podcast episode

Titles in the series (100)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.