Michael Levin
speaker
450 appearances
1 recordings
1 series
first heard May 2025
last heard May 2025
Michael Levin’s voice in public audio — every appearance, attributed to the second.
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Appearances
Chemistry just sort of does what chemistry does, but developmental biology can certainly make mistakes and behavior can can can make mistakes.
And so the extent to which you have a system that, and this is how I see all of these things.
Is navigating different spaces.
So of course you have metabolic spaces and physiological spaces and transcriptional spaces and then anatomical morphous space, which is you know sort of what I study mostly.
And then you have 3D motion space of motion and so on.
Um as as systems navigate this space, it it is very natural to look at that uh scale, that you know, the Wiener, Rosenbluth, uh Bigelow scale from from passive matter to you know sort of active matter, and then and then the how much, you know, what what are the what are the what are the tools that you can bring to understand the navigation of the system in that space?
Is it a random walk?
Does it do delayed gratification?
Does it
have a membrane forward planning?
Does it uh you know uh what what are what are all the things that that it does?
And this I and and so what we've been doing is taking tools that are usually
uh
Deployed all across uh maybe let's say the right side of that spectrum.
So tools from computational neuroscience and behavior science and so on, and asking whether they apply to very simple things in simple in other spaces that are really not easy for us to sort of visualize.
And that's been incredibly enriching because it turns out that if you're willing to do that, if you're willing to uh say that this is an empirical project, we can't just assume that uh that this is uh you know how complicated.
Cognitive different things are, you have to actually do the experiments.
When you do the experiments, you find out some amazing things, even at the very left end of that spectrum.
So, for example, gene regulatory networks, not the cell, not all the stuff that goes in it, but just the mathematics of a few nodes linked to each other by, you know, these ordinary differential equations.
Just that alone can do six different kinds of learning, dynamical system learning, including Pavlovian conditioning, including habitual.
Showing 61–80 of 450 · page 4 of 23
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