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“Science is a smart, low cost investment. The costs of not investing in it are higher than the risk of doing so… talk to people about science.” - @kevinochsner.bsky.social makes his case to the field #sans2025

Gang Chen @gangchen6.bsky.social · last yr.

What's with the revival of "limbic"? In recent cog neuro textbooks, papers, and scientific talks, I've seen more of the "limbic system" than I have for years. Affective neuroscientists argued that this idea should be thrown out *25 years ago*. Why are we backsliding? #friendsdontletfriendssaylimbic

A quote from Joseph LeDoux's 2000 article titled "Emotion Circuits in the brain." The quote says "The limbic system itself has been a moving target… after half a century of debate and discussion, there are still no agreed upon criteria that can be used to decide which areas of the brain belong to the limbic system… both the anatomical concept and the emotional function it was supposed to mediate were defined so vaguely as to be irrefutable…

In spite of the fact that the limbic system concept remains the predominant view about how the brain makes emotions, it is a flawed and inadequate theory of the emotional brain…"

For those who think more data just means more headcount, here’s a quirky twist: the number of data points per individual actually matters--a lot. If you're into a bit of rigor, this article highlights a factor that’s often overlooked. Thanks for the shoutout! www.sciencedirect.com/science/arti...

Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging

Here we investigate the crucial role of trials in task-based neuroimaging from the perspectives of statistical efficiency and condition-level generali…

sciencedirect.com

Peter Sokol-Hessner@p1sh.bsky.social · last yr.

@gangchen6.bsky.social making a strong case that statistical power is related to the number of participants, but ALSO to the number of datapoints *per person* (i.e. number of trials). An excellent point we often have to argue for in my lab's own work!! Couldn't agree more. #SANS2025

AI can be helpful with programming & writing, but *the better you are at those things, the more useful AI is.* Early on, when you're just starting out with either, it can "actually be very disruptive to the learning process" to use AI instead of doing it yourself. @markthornton.bsky.social #SANS2025

Sara Grady @saramgrady.bsky.social · last yr.

"Highlight, don't hide" @gangchen6.bsky.social makes an impassioned argument that thresholding (reflective of a "binary" yes/no approach to analysis) holds back our science, making it less transparent and less reproducible. Instead, be a facilitator - share uncertainty and evidence! #SANS2025

Slide from Gang Chen describing how he feels people should approach brain analysis in ways that increase transparency & reproducibility, focusing on encouraging people to share results with the uncertainty that accompanies our inferences.

Really interesting to consider how taking (& reporting!) all the forking paths in analytical decisions gives a more robust picture of effects, as a “multiverse analysis” approach (h/t Dani Cosme) details here: dcosme.shinyapps.io/explore-sca/ #SANS2025 #commscience

Graphic, all analytical decisions in a decision tree of choices a a researcher makes in preprocessing & managing data

A set of decisions becomes 1100 different models of the same tested relationship in the same data

Kimberly Chiew @kimberlychiew.bsky.social · last yr.

At #SANS2025, enjoying the first debate on how to approach our science: big consortia or small labs? @thaliawheatley.bsky.social beautifully frames small labs as a kind of "collective intelligence." #ScrappyAudaciousNimbleScience

Slide from a talk by Thalia Wheatley. Says "The small labs model is a form of collective intelligence. We map the complexity of human sociality and emotion by staying curious, pushing methodological boundaries, and openly sharing our successes, failures, and data to build a deeply integrated science. SANS: Scrappy, Audacious, Nimble Science.

At #SANS25? 🤗 Von Monteza, advised by @p1sh.bsky.social & myself, is presenting "Temporal contexts of effort and arousal: decision speed and pupillometry illuminate the experience of choice difficulty during a novel risky decision-making paradigm" 👁️ Poster P3A6, Sat 12-3 @sansmeeting.bsky.social

The Sokol-Hessner Lab@shlab.bsky.social · last yr.

Von's work is super cool - uses a novel task we've built, the Denver Bespoke Gambling Paradigm (DBGP) to quantify and manipulate decision difficulty on a per-person basis, giving us unique opportunities to control and study how folks respond to variations in decision difficulty! Stop by!

We're at #SANS2025 in Chicago! 🧠 Come hear lab PhD student @jvonmonteza.bsky.social present his poster on Saturday afternoon! Von uses a cool novel task to study how effort during risky decision-making is sensitive to recent effort context. Stop by for modeling, decision times, & pupillometry!

Sara Grady @saramgrady.bsky.social · last yr.

At the opening remarks of #SANS2025, which are 🔥 on doing science on identity, emotion, community, our brains & wellbeing in the current climate is still necessary and beneficial, even when actively being threatened. @sansmeeting.bsky.social

SANS@sansmeeting.bsky.social · last yr.

This was lots of fun. So much great energy and excitement, and so, so many excellent questions.

Day 1 of #SANS2025 kicks off with the Mentor Match Event 🤝! Huge thanks to all our mentors for sharing your time and insight, and to our amazing trainees for building the future of social & affective neuroscience 💡🧠

Colin Camerer @cfcamerer.bsky.social · 2y ago

“Riveting storytelling” practically begs for stories that are only loosely tethered to the truth

David Schraub@schraubd.bsky.social · 2y ago

The new WaPo slogan ("Riveting Storytelling for All of America") is terrible, in that it embodies everything awful about the Post's humiliating abandonment of journalistic standards, & perfect, in that it embodies everything awful about the Post's humiliating abandonment of journalistic standards.

Uma Karmarkar @umakarma.bsky.social · 2y ago

You can actually see the sci comm win in the transcript of the two hosts talking: BARBER: Wow. OK, so no lizard brain. SELYUKH: Forget it. Our brains are too complex for these basic metaphors.

Uma Karmarkar@umakarma.bsky.social · 2y ago

NPR's Shortwave featured Jorge Barraza & Carolyn Yoon on the consumer neuro behind holiday sales. Barraza shuts down an attempt to make it about lizard brains: "that simplification can be oversimplified and creates a caricature of something that's not really true." ❤️ www.npr.org/transcripts/...

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