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!
#neuroskyence
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!
t.co/AdWTV8eIPV
t.co/AdWTV8eIPV
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".
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".
I'm looking for some reviews or book chapters about operant conditioning and reinforcement schedules: what works when--and why?
Any suggestions?
I'm looking for some reviews or book chapters about operant conditioning and reinforcement schedules: what works when--and why?
Any suggestions?
projects.propublica.org/claimfile/
projects.propublica.org/claimfile/
A gain increase?
More spikes overall?
Some secret third thing?
A gain increase?
More spikes overall?
Some secret third thing?
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.
#neuroskyence #PsychSciSky
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.
(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?”)
(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?”)
www.unlv.edu/degree/phd-n...
www.unlv.edu/degree/phd-n...
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
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
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!
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!