2 ms·
I agree and think the way forward is computer simulation. Figure out a simulation equivalent of a neuron and put a lot together and see how well the simulated b
by tim333 2y ago
I agree and think the way forward is computer simulation. Figure out a simulation equivalent of a neuron and put a lot together and see how well the simulated brain portion matches the real thing. That hasn't really been possible due to lack capability of computer power but we are getting to where it could be. They have of course done stuff with "artificial neural networks" of the ChatGPT type but those are very far from biology.
DeepMind has been doing work along those lines with 'AI BRAIN' https://medium.com/@daneallist/unlocks-secrets-of-real-brains-google-deepmind-ai-brain-5f51214b3d35 https://medium.com/@daneallist/unlocks-secrets-of-real-brain...
- renewedrebecca 2y agoHow do you simulate something you don't understand? The basic problem here is that we don't understand what a neuron does, so how would we model it?
- deleted 2y ago[deleted]
- KineticLensman 2y ago> The basic problem here is that we don't understand what a neuron does, so how would we model it? We understand lots of aspects of neurons and can model those. See the wikipedia page for some examples of well-understood principles.
- tim333 2y agoYeah and you can do a simulation using a rough approximation and then it is interesting to see in what ways it matches real brains and in what it does not. It seems the DeepMind rat brain didn't really try to get close to biological neurons but still produced outputs close to a real brain. (vid from here for about 2 mins https://youtu.be/hIuXXvWY6-4?t=125 https://youtu.be/hIuXXvWY6-4?t=125)
- deleted 2y ago[deleted]