New lab paper out in @NatureHumBehav showing ppl build cognitive maps of social networks to track how information flows. How are these maps built? A replay-like mechanism reshapes them over night😴, making them more abstract, which helps with hardest social navigation problems

It's clear that many do not understand what @NIH-funded research does to improve health. It's time to revive a study published 10 years ago that provides incredible information about this. link in the comment Every single new drug approved by the FDA from 2010–2016 was built on

non-paywall version here:

...exhibit insensitivity to policy uncertainty and rigid choice policies. This leads to maladaptive behaviors with untrustworthy people. Amrita developed a novel👁️ tracking method that sidesteps issues with existing measures to capture highly granular estimates of uncertainty

New paper in @BiologicalPsyc1 CNN w/ Amrita & @Franklab_LNCC People can flexibly switch btw resolving policy & epistemic uncertainty (uncertainty about what to do vs about environment) to adaptively learn who can be trusted. But those with anxiety...

Come join us! Our department @BrownCLPS at @BrownUniversity is hiring up to 2 candidates in an open area. Assistant or Associate Professor in Cognitive and Psychological Sciences. More info and apply here:

The take away: In the real world, it seems like the relationship between uncertainty and emotion may not actually be linear, and is instead more complex than originally thought. Read more here:

In the case of the 2021 US Capitol attack, moral outrage spikes and uncertainty language abruptly declines, which we track on an hour-by-hour basis. In other words, negative emotion doesn't always increase with greater uncertainty:

We were able to capture uncertainty prevalent in the environment simply by measuring people's spontaneous thoughts shared online. We found that sharp increases in uncertainty language rise in tandem with negative sentiment...unless the uncertain event contains a moral violation

Can we use Twitter to track uncertainty in the real world? Latest lab pub led by @marclluis & @DaantjedeBruin measured uncertainty language in more than 20 million tweets during highly uncertain events: Covid-19 2021 US presidential election Jan 6 coup What did we find? 👇

Come do science with us! We're hiring a lead research assistant: Duties include all things research + some administrative stuff. Start July 2024 Email your CV + short paragraph about why you want to join the lab to feldmanhall.lab@gmail.com More info:

Back for a moment to share our latest paper in @PNASNews! Jae details the mechanism ppl use to build cognitive maps of social networks. Computations abstract over known relationships to infer unknown relationships in network--can explain many behaviors! https://t.co/fkIGiylVYE

A letter to Social Psychologists, regarding the war, by (the vast majority of) Israeli social psychologists. We would appreciate it if you can read and share. https://t.co/P6wgtIPwoH #FreePalestine #StandWithIsrael

I usually don’t write political posts on Twitter, but I wanted to clarify a few things about the situation in Israel.

Exactly this.

As an academic writing coach, here are the 7 most common mistakes I see researchers make when writing the Introduction section of their paper. A thread. 🧵 #newPI #AcademicTwitter

Florida has effectively banned the teaching of AP Psychology. Depriving students of knowledge about the human mind-including mental health / illness, relationships, and the brain-will harm future generations in the name of culture war. Shameful. https://t.co/ks3gPyUP5o

⛳ Beyond excited to share our new preprint, in which we show how social biases can be acquired through social learning! (with @B_Lindstroem, @profcikara, and @david_m_amodio). Link: https://t.co/8aAdulTo3u 🧵 Key findings below 🧵

There are many other cool findings in Amrita's paper, including computational models, learning asymmetries and more, so check it out! https://t.co/0XFTCXYQes

Interestingly, learning differences were not driven by stronger prediction errors. Instead, we found that differences in the strength or fidelity of the neural representations drove learning success. 6/