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 177 Special: Bernstein Workshop Panel

BI 177 Special: Bernstein Workshop Panel

FromBrain Inspired


BI 177 Special: Bernstein Workshop Panel

FromBrain Inspired

ratings:
Length:
74 minutes
Released:
Oct 30, 2023
Format:
Podcast episode

Description

Support the show to get full episodes and join the Discord community.







I was recently invited to moderate a panel at the Annual Bernstein conference - this one was in Berlin Germany. The panel I moderated was at a satellite workshop at the conference called How can machine learning be used to generate insights and theories in neuroscience? Below are the panelists. I hope you enjoy the discussion!




Program: How can machine learning be used to generate insights and theories in neuroscience?



Panelists:

Katrin Franke

Lab website.



Twitter: @kfrankelab.





Ralf Haefner

Haefner lab.



Twitter: @haefnerlab.





Martin Hebart

Hebart Lab.



Twitter: @martin_hebart.





Johannes Jaeger

Yogi's website.



Twitter: @yoginho.





Fred Wolf

Fred's university webpage.








Organizers:




Alexander Ecker | University of Göttingen, Germany



Fabian Sinz | University of Göttingen, Germany



Mohammad Bashiri, Pavithra Elumalai, Michaela Vystrcilová | University of Göttingen, Germany
Released:
Oct 30, 2023
Format:
Podcast episode

Titles in the series (99)

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.