Please enjoy a new video by MILM and Alexander Dupuis.
Every year we get together and make a record in a week. This song is from our first record, MILM I.
https://t.co/4dFw5eOP4A
@Nick__Bentley If one recipe for market success is to be 80% familiar and 20% novel, a strict "study the canon" strategy might fall short on novelty. Might be better to balance exploring the fringe with exploiting the canon when foraging for ideas
What happens in our brains when we come to consensus?
I’m super excited to finally share the first video in a series of #neuroscience animated explainers for @InteractingMind
https://t.co/V9Ikd0jr26
When @beausievers first presented this work in our lab, I remember everyone gasping for air.
Fantastic idea and such beautiful methods and analysis. So ambitious.
Check this out!
RIP Larry Polansky - a major influence, mentor, and friend to Indexical. Huge loss for the Santa Cruz music scene and greater experimental music community.
We talk to share how we see the world. Here, we show that natural consensus-building conversation leads to future neural synchrony.
Deeply satisfying to see this in print. With @c_welk , @HassonLab , @akleinb , and @ThaliaWheatley
https://t.co/FFeUdWFv9p
New paper from @beausievers & me, now out in SCAN! "Deep social neuroscience: The promise and peril of using artificial neural networks to study the social brain" Open access link🔓: https://t.co/KWQs2Z7dxE
My lab is on the lookout for a new full-time RA to join our team!
Please spread the word, esp to folks who might be a good fit.
More info and application link: https://t.co/I6mZaIVA1A
This year I am particularly looking for prospective graduate students who are interested in studying social cognition by using deep neural networks as cognitive models to explain the computations performed by social brain circuits.
It is widely believed that the planarian memory transfer experiments from the 1960s were flawed and non-replicable. They're now discussed only as a scientific cautionary tale. But the critiques themselves were flawed. This is actually a meta-scientific cautionary tale.