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The general idea of a Bayesian brain is fairly well-accepted. Not everyone agrees that oh, this must be the way the brain works, but there are definitely exper
by eli_gottlieb 4y ago
The general idea of a Bayesian brain is fairly well-accepted. Not everyone agrees that oh, this must be the way the brain works, but there are definitely experiments demonstrating set-ups in which you can get a good approximation of a Bayesian posterior distribution out of subjects.
The question is how the brain might do Bayesian inference in a very broad class of generative models (not just affine-Gaussian!), and what else it might be doing inference in service to.
- saeranv 4y agoThat makes sense. Since you seem to have expertise in this domain, may I ask what is the current state-of-the-art for generative models for modeling learning/behaviour, in the neuroscience community? If any...
- eli_gottlieb 4y agoThe neuroscience community doesn't really keep "benchmarks" the way the machine learning community does. The trouble this causes for us right now is that many experimental tasks now used in neuroscience are simpler than the corresponding tasks used in ML, and so could be "solved" by a significantly simpler model. That said, I've seen stuff like the Hierarchical Gaussian Filter used to fit behavioral data: https://link.springer.com/chapter/10.1007/978-3-030-93736-2_57 https://link.springer.com/chapter/10.1007/978-3-030-93736-2_...