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

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 papers
- Informing 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

CLIP: Clients are Family and Families are Clients