parralab.org
But there is a ton of evidence for prediction error or novelty modulating sensory responses, e.g.
while people watch movies the entire brain seems to be modulated by surprise:
www.nature.com/articles/s41...
But there is a ton of evidence for prediction error or novelty modulating sensory responses, e.g.
while people watch movies the entire brain seems to be modulated by surprise:
www.nature.com/articles/s41...
Paper: doi.org/10.1148/ryai...
Code: github.com/lkshrsch/Bre...
Paper: doi.org/10.1148/ryai...
Code: github.com/lkshrsch/Bre...
Response to movies is dominated by intrinsic brain dynamics. The dynamic itself is barely alternatered by the task of watching movies.
Human intracranial recordings from 5000 electrodes, now out in eLife.
elifesciences.org/reviewed-pre...
Response to movies is dominated by intrinsic brain dynamics. The dynamic itself is barely alternatered by the task of watching movies.
Human intracranial recordings from 5000 electrodes, now out in eLife.
elifesciences.org/reviewed-pre...
elifesciences.org/reviewed-pre...
elifesciences.org/reviewed-pre...
www.sciencedirect.com/science/arti...
I love how their figures match our view of feed-forward and recurrent processing in the visual stream.
journals.plos.org/ploscompbiol...
Nice
@martinavinck.bsky.social @canalesjohnson.bsky.social
www.sciencedirect.com/science/arti...
I love how their figures match our view of feed-forward and recurrent processing in the visual stream.
journals.plos.org/ploscompbiol...
Nice
@martinavinck.bsky.social @canalesjohnson.bsky.social
Code: Matlab, python, R
doi.org/10.1371/jour...
Code: Matlab, python, R
doi.org/10.1371/jour...
Compute with less power is an engineering challenge worth solving in the coming decade.
OpenAI won't figure it out. Their VC bro only throws money at the same uninspired approach.
doi.org/10.1038/jcbf...
Compute with less power is an engineering challenge worth solving in the coming decade.
OpenAI won't figure it out. Their VC bro only throws money at the same uninspired approach.
doi.org/10.1038/jcbf...
One can also propagate sensitivity forward in time. This can be done efficiently and exactly for a large class of recurrent networks.
💥 Problem solved! 😁
arxiv.org/abs/2411.16695
One can also propagate sensitivity forward in time. This can be done efficiently and exactly for a large class of recurrent networks.
💥 Problem solved! 😁
arxiv.org/abs/2411.16695
www.pnas.org/doi/10.1073/...
www.pnas.org/doi/10.1073/...