11–20 of 37 posts
Looking at this article, i wonder if we'll ever be able to figure any of this out. I feel pretty hopeless about the entire situation.
My 8 month old daughter suffers from cortical visual impairment after contracting bacterial meningitis caused by e coli during the birthing process. She had to have a bilateral cranitomy to have isolated areas of the infection carved out of her brain tissue. Looking at this article, i wonder if we'll ever be able to figure any of this out. I feel pretty hopeless about the entire situation.
Anyone up for a summary? I didn't get much from the abstract.
Earlier quoted context omitted.
Learning's likely to be bidirectional. ANN (as a mathematical analogue) is independent to the biological function (the original and key inspiration). Advances in network architecture (e.g. the recent trend towards skip connections and parallel processes) is likely to give insight to how an underlying, more complex system is likely to operate. In particular, systematic errors made by ANNs under given frameworks have a…
> Advances in network architecture (e.g. the recent trend towards skip connections and parallel processes) is likely to give insight to how an underlying, more complex system is likely to operate. Maybe . The thing about these advances in ANNs is, so we have any reason to believe they have anything to do with the way biological neural networks work? It might be the case that these kinds of advances correlate to a mor…
The trick, to me, is to avoid falling into the trap of thinking imperfect models aren't useful. Then the accuracy matters less.
An example of a useful intuition was realizing choosing to believe something is a skill and I can choose to believe the opposite of anxious thoughts to safely defuse anxiety as long as I'm meeting my needs.
I know people who've been in therapy for a long time before learning that one, so I'm gonna keep using ANNs as a guide for self-hacking. It's way too useful to me.
function optimization in deep learning sense has nothing to do with neuroscience, I hope they don't think of fitting this model to brain processes just because it's popular
function optimization in deep learning sense has nothing to do with neuroscience, I hope they don't think of fitting this model to brain processes just because it's popular
In a range of domains, in particular higher level brain areas, DL models trained on imagine are already the best predictive models of brain function. If they are better than all other models at describing the data, why would we say they have nothing to do with neuroscience?
My 8 month old daughter suffers from cortical visual impairment after contracting bacterial meningitis caused by e coli during the birthing process. She had to have a bilateral cranitomy to have isolated areas of the infection carved out of her brain tissue. Looking at this article, i wonder if we'll ever be able to figure any of this out. I feel pretty hopeless about the entire situation.
function optimization in deep learning sense has nothing to do with neuroscience, I hope they don't think of fitting this model to brain processes just because it's popular
In a range of domains, in particular higher level brain areas, DL models trained on imagine are already the best predictive models of brain function. If they are better than all other models at describing the data, why would we say they have nothing to do with neuroscience?
My 8 month old daughter suffers from cortical visual impairment after contracting bacterial meningitis caused by e coli during the birthing process. She had to have a bilateral cranitomy to have isolated areas of the infection carved out of her brain tissue. Looking at this article, i wonder if we'll ever be able to figure any of this out. I feel pretty hopeless about the entire situation.