Uploaded June 2024 | Updated September 2026, 1 hour ago
Show notes:
braininspired.co/podcast/189
Patreon for full episodes and Discord community:
patreon.com/braininspired
Video Series: Open Questions in AI and Neuroscience:
braininspired.co/open
Apple podcasts:
itunes.apple.com/us/podcast/brain-inspired/id1428880766?mt=2
Spotify:
open.spotify.com/show/2UZj8c8Ap5oc2gh2rJxLLe
Music by: The New Year:
thenewyear.net
Joshua Vogelstein runs the Neurodata Lab at Johns Hopkins, which seeks to "Understand and improve animal and machine learning worldwide."
Today our discussion revolves around two main themes, along with my usual random tangents
Jovo, as you'll learn, is theoretically oriented, and enjoys the formalism of mathematics to approach questions that begin with a sense of wonder. So after I learn more about his overall approach, the first topic we discuss is the world's currently largest map of an entire brain... the connectome of an insect, the fruit fly. We talk about his role in this collaborative effort, what the heck a connectome is, why it's useful and what to do with it, and so on.
The second main topic we discuss is his theoretical work on what his team has called prospective learning. Prospective learning differs in a fundamental way from the vast majority of AI these days, which they call retrospective learning. So we discuss what prospective learning is, and how it may improve AI moving forward.
At some point there's a little audio/video sync issues crop up, so we switched to another recording method and fixed it... so just hang tight if you're viewing the podcast... it'l get better soon.
0:00 - Intro
05:25 - Jovo's approach
13:10 - Connectome of a fruit fly
26:39 - What to do with a connectome
37:04 - How important is a connectome?
51:48 - Prospective learning
1:15:20 - Efficiency
1:17:38 - AI doomerism
Show notes:
braininspired.co/podcast/189
Patreon for full episodes and Discord community:
patreon.com/braininspired
Video Series: Open Questions in AI and Neuroscience:
braininspired.co/open
Apple podcasts:
itunes.apple.com/us/podcast/brain-inspired/id1428880766?mt=2
Spotify:
open.spotify.com/show/2UZj8c8Ap5oc2gh2rJxLLe
Music by: The New Year:
thenewyear.net
Joshua Vogelstein runs the Neurodata Lab at Johns Hopkins, which seeks to "Understand and improve animal and machine learning worldwide."
Today our discussion revolves around two main themes, along with my usual random tangents
Jovo, as you'll learn, is theoretically oriented, and enjoys the formalism of mathematics to approach questions that begin with a sense of wonder. So after I learn more about his overall approach, the first topic we discuss is the world's currently largest map of an entire brain... the connectome of an insect, the fruit fly. We talk about his role in this collaborative effort, what the heck a connectome is, why it's useful and what to do with it, and so on.
The second main topic we discuss is his theoretical work on what his team has called prospective learning. Prospective learning differs in a fundamental way from the vast majority of AI these days, which they call retrospective learning. So we discuss what prospective learning is, and how it may improve AI moving forward.
At some point there's a little audio/video sync issues crop up, so we switched to another recording method and fixed it... so just hang tight if you're viewing the podcast... it'l get better soon.
0:00 - Intro
05:25 - Jovo's approach
13:10 - Connectome of a fruit fly
26:39 - What to do with a connectome
37:04 - How important is a connectome?
51:48 - Prospective learning
1:15:20 - Efficiency
1:17:38 - AI doomerism
