If you're going to call the option `decimate`, the default better be "remove 10%" I didn't sit through three years of Latin for nothing! 😡

We're having a run of fun talks this week at McGill. Rich Krausliz today on higher visual function in the colliculus (4pm at the Neuro). Then, on Friday, @crisniell.bsky.social will talk about visual coding in mouse and OCTOPUS(!!!).

Dear #Neuroskyence friends, Can anyone recommend a good database for (macaque) connectivity? I'd love something like CoCoMap, but it seems to have succumbed to bitrot.

I'd argue an easy way to support "early-career" folks is not to lump everyone together. Depending on who's talking, it could mean anything from undergrads to untenured profs--and they all want and need different things. The baked-in idea of a fixed, linear career path is also bad too!

The Transmitter @thetransmitter.bsky.social · last yr.

Helping scientists at all career stages is part of The Transmitter’s mission. In collaboration with @neuromatch.bsky.social we’ve put together a survey to better understand how to support early-career researchers. Your voice matters. Make sure it’s heard: bit.ly/46UTVOq #neuroskyence

One thing I've learned to do when I have questions about social security number holders who are age 100 or older is to look up the SSA Inspector General audit report, "Numberholders Age 100 or Older Who Did Not Have Death Information on the Numident." t.co/AdWTV8eIPV

The goals are awful, but the implementation is so hamfisted too. Certainly wouldn't want NSF funding optics ("polarization"), math ("in/equality"), statistics ("bias"), linguistics ("male/female voices", "token"), chemistry ('fluid identity"), computing ("nonbinary") or uhhh "clean energy".

Donna L. Hoffman@profhoff.bsky.social · 2y ago

Here's the list of keywords and phrases that will kick out your NSF proposal. See Appendix B on p. 40. www.commerce.senate.gov/services/fil...

I ran 80,000 simulations and they all say you should be writing

Hi #neuroskyence and #PsychSciSky friends, I'm looking for some reviews or book chapters about operant conditioning and reinforcement schedules: what works when--and why? Any suggestions?

I don't know who needs to know this, but Pro Publica has an online thing that will format a letter to your US health insurance company to demand the records behind a claim denial. (which the insurance is then legally required to provide in most cases) projects.propublica.org/claimfile/

Find Out Why Health Insurance Denied Your Claim

You likely have the right to access records that explain why your insurer denied your claim or prior authorization request. Use ProPublica’s free tool to generate a letter requesting your claim file f...

projects.propublica.org

What exactly do #neuroscience folks mean when they say something "increases neural or cortical excitability"? A gain increase? More spikes overall? Some secret third thing?

As if the brain wasn't bad enough, I'm going to have to learn about skin (and bones) now too?!?

Can we do this for TT jobs too, please? Places now want 5,000+ words (organized in their own idiosyncratic way), multiple letters—and now videos too! These long apps seem like they must bias the application pool in bad ways.

Erin J. Wamsley 🧠📈😴@wamsleylab.bsky.social · 3y ago

All grants should follow the "just submit a 2-page letter first and then we'll let you know if you even have a chance" model. #neuroskyence #PsychSciSky

Yikes! It’s not even Halloween yet! (While I was taking this photo, someone stopped to see what I was looking at and got mad—at me! “A Christmas tree?! NOW? Are you kidding me?”)

The HiVE Lab is looking for Fall 2024 PhD students. We study how the neural computations of memory and cognitive flexibility are affected by neurodegeneration and metabolism. Fully funded PhD students. Las Vegas is fantastic, affordable, and diverse. www.unlv.edu/degree/phd-n...

Effect sizes according to Coen: d = 0.0: The Effect Who Wasn’t There d = 0.2: O Effect, Where Art Thou? d = 0.6: A Serious Effect d = 0.8: Largo

#Neuroskyence friends (or anyone else collecting big data sets), how does your lab handle data storage? We had a handful of Buffalo NASes, but they're dying and, frankly, were never that good. I'd ideally like ~100 Tb of storage (local or cloud), and for less than the cost of a student!