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BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs

BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs

FromBrain Inspired


BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs

FromBrain Inspired

ratings:
Length:
87 minutes
Released:
Mar 26, 2022
Format:
Podcast episode

Description

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Sri and Mei join me to discuss how including principles of neuromodulation in deep learning networks may improve network performance. It's an ever-present question how much detail to include in models, and we are in the early stages of learning how neuromodulators and their interactions shape biological brain function. But as we continue to learn more, Sri and Mei are interested in building "neuromodulation-aware DNNs".



Neural Circuits Laboratory.Twitter: Sri: @srikipedia; Jie: @neuro_Mei.Related papersInforming deep neural networks by multiscale principles of neuromodulatory systems.





0:00 - Intro
3:10 - Background
9:19 - Bottom-up vs. top-down
14:42 - Levels of abstraction
22:46 - Biological neuromodulation
33:18 - Inventing neuromodulators
41:10 - How far along are we?
53:31 - Multiple realizability
1:09:40 -Modeling dendrites
1:15:24 - Across-species neuromodulation
Released:
Mar 26, 2022
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.