It’s also your book if you want to learn about predictive processing at all, since as far as I know this is the only existing book-length treatment of the subject. And it’s comprehensive, scholarly, and very good at giving a good introduction to the theory and why it’s so important. So let’s be grateful for what we’ve got and take a look.

Top down ideas meet bottom up senses.

source: SSC

Swarms of fire ants display viscoelastic properties, meaning they can act like both a liquid and a solid.

Weird science of the day.

source: SSC

Two thumbs up!

source: SSC

And I think part of the answer might be: ordinary conversations are hard to predict because they’re designed to be so. Conversation norms are anti-inductive. Like Douglas Adams’ conception of the universe, any time people start to understand them too well, they have to get replaced with something a little bit less comprehensible.

source: SSC

Distributions are curves, so if you’re talking about distributions, try to think about and compare the whole curve as much as possible.

source: SSC

Science and theories and experiments, but in the end we don’t seem to know anything.

source: SSC

Kind of a strange story, but I guess I liked it.

source: SSC

Here we identify very recent fine-scale population structure in North America from a network of over 500 million genetic (identity-by-descent, IBD) connections among 770,000 genotyped individuals of US origin. We detect densely connected clusters within the network and annotate these clusters using a database of over 20 million genealogical records.

source: SSC