Daniel Toker’s in silico coma model

28:53um but in any event Exactly. So, now we finally get to Daniel's paper. Daniel Toker in Nature Neuroscience, "Adversarial AI Reveals Mechanisms and Treatments for Disorders of Consciousness." It's a really innovative way of using machine learning and the vast amount of data that's now available on comatose patients, vegetative patients. Um he's made a in silico model of coma, so a computer model of the brain um that circumvents circumvents the lack of mouse models. So, now I have a model in the brain that I can play with Yes. a model of the brain in my computer that I'm fairly confident is quite good that

29:34I can play around with. >> Cuz the idea is it's it's based off of this real-world data of actual anonymized Yeah. data. Exactly. And then I can figure out a kind of mechanistic model about how consciousness works, what gets disrupted to make a coma and then it becomes a kind of discovery engine. From that we can mess around with it and propose new treatments. And he is doing all of these. >> This is this is >> Very well done, Daniel, by the way. Nice nicely done. >> quite good. Again, the Brain Scientist on Instagram. And before we deep dive into it, let's do a little bit of housekeeping. >> So, as always, we are so grateful for all of you to join us for these research

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30:55multiple times every week. If you would like to become a patron, you can donate to the pod at ffppod.com/donate. Any and all support, monetarily or non-monetarily, is hugely, hugely valuable and we really greatly appreciate it. I have no other show notes this week and I'm very excited to dive back into this paper. Let's do it. Okay. So, first thing I want to do, right? I want to use elect- I want to use artificial intelligence to make a discovery engine for my brain, figure out why comas happen, and then propose treatment. That's the end goal of this paper, okay? Okay. First thing I want to do is train an AI detective that is capable of diagnosing consciousness from