Uploaded March 2022 | Updated September 2026, 2 hours ago
Show notes: braininspired.co/podcast/131
Patreon support: patreon.com/braininspired
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”.
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
Show notes: braininspired.co/podcast/131
Patreon support: patreon.com/braininspired
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”.
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
