Jeffrey C. Erlich @jerlich@qoto.org

@ansuz @jonny a long time ago I wrote a rant about “building the mesh”. I even registered the domain! But people are too lazy / the cloud is too convenient/ apathy …. https://jerlich.medium.com/is-the-end-of-net-neutrality-a-good-thing-a37b16dfd6aa

wow. i should really re-read my toots before tooting....
😂

Why we can't have nice things: so long Medium

I'm a nerd. I like to read about science and technology. I also like to participate - write content, answer questions, etc.

When Medium first appeared, I was excited to see a new format for content creators to directly share their work. I even paid for a subscription. But it has gone the way of Quora: click-baity titles with a ton of bad content. It's unfortunate, because some Medium content is still good, but it is too hard to separate the wheat from the chaff. Goodbye Medium.

As an aside, i think the same thing happened to Quora. When Quora first came out, i was quite active there: one of the top contributors in neuroscience. But now it is pretty terrible. The questions are repetitive and trite and the answers are often pure opinion.

@marshall_0i @DewiLanglet Agree that it depends a lot on journal and editor. I have heard of some bad practices: editors kicking negative reviewers off papers until they find a reviewer willing to publish.

@eLife is there a way to download a PDF with the figure-supplements? if there is not can you make it so there is one?

What's the best solution for opto + ephys commutator for open ephys system?

@openephys #neuroscience #electrophysiology

@kordinglab Roger.

@Neurograce

Have you played with these "Hopfield Layer" networks?

@dlevenstein @tyrell_turing @NicoleCRust @cogneurophys @charanranganath @PessoaBrain
@dbarack

This is a little different, but Paul Glimcher's book (https://mitpress.mit.edu/9780262572279/decisions-uncertainty-and-the-brain/) spends a lot of time going through the history of the Sherringtonian view and how it has led us astray. In a nutshell, the Sherringtonian (which is basically a Cartesian or Pavolovian view) is that action is a reflex in response to sensory input. Paul draws on game theory (in particular the work of John Maynard-Smith) to argue that competing animals cannot be "reflexive" because we need to be unpredictable. I don't recall if he directly connects this unpredictability with attractor dynamics

#neuroscience

@NicoleCRust @cogneurophys @charanranganath @PessoaBrain @tyrell_turing

The Barack and Krakauer basically claims that there are two views about how neural computation works: the Sherringtonian and Hopfieldian. But maybe not exactly what you are looking for?

https://www.nature.com/articles/s41583-021-00448-6