Juan Vidal-Perez
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vipejuan.bsky.social
Juan Vidal-Perez
@vipejuan.bsky.social
PhD student @Max Planck UCL || RL and decision-making || Trying to understand how we process (dis)information 🧠🗞️
Pinned
🚨 New preprint alert! 🚨
w/ @ranimo.bsky.social 📝 osf.io/preprints/psya…

From partisan news to algorithmically curated content, we constantly receive biased misinformation. With biased input, can our beliefs be accurate?

Turns out, biased misinformation distorts our beliefs! 👇🧵 1/13
OSF
https://osf.io/preprints/psya…
Reposted by Juan Vidal-Perez
Honey, we fixed Signal Detection Theory (SDT)! In this preprint, Constantin Meyer-Grant, David Kellen, Sam Harding, and I critically evaluate the (unequal-variance) Gaussian SDT model in recognition memory and pursue the Gumbel-min model as a principled alternative: doi.org/10.31234/osf...
🧵
Extreme-Value Signal Detection Theory for RecognitionMemory: The Parametric Road Not Taken
Signal Detection Theory has long served as a cornerstone of psychological research, particularly in recognition memory. Yet its conventional application hinges almost exclusively on the Gaussian…
doi.org
April 27, 2025 at 2:46 PM
Reposted by Juan Vidal-Perez
🚨 New study alert! 🚨
Ever wondered if rats and humans learn in the same way? 🐭🧑‍🔬
We tested this — and the answer is yes, at least when it comes to how we value rewards in context.
(with @shaunaparkes.bsky.social Lachlan Ferguson, Magdalena Soukupova)

🧵Thread 👇

1/

www.biorxiv.org/content/10.1...
Reference Point-Dependent Reinforcement Learning in Humans and Rats
Previous studies indicate that rewards and punishments in reinforcement learning are encoded in a relative manner. Reference point-dependence, a valuation bias shared by eminent adaptation level and p...
www.biorxiv.org
April 14, 2025 at 8:49 AM
Reposted by Juan Vidal-Perez
Honest people don’t lie. Or do they? Liars aren’t honest. Or are they?
One puzzling conundrum in contemporary politics is that politicians who seem to be estranged from facts and evidence are nonetheless considered honest by their followers.
1/n
April 10, 2025 at 10:47 AM
🚨 New preprint alert! 🚨
w/ @ranimo.bsky.social 📝 osf.io/preprints/psya…

From partisan news to algorithmically curated content, we constantly receive biased misinformation. With biased input, can our beliefs be accurate?

Turns out, biased misinformation distorts our beliefs! 👇🧵 1/13
OSF
https://osf.io/preprints/psya…
April 7, 2025 at 4:54 PM
Reposted by Juan Vidal-Perez
⭐️PhD in Cognitive/Computational Psychology⭐️ Use Reinforcement Learning to study how mis/misinformation affects us. For full funding, one has to be eligible for UK home fees. Please Share!!
@queenmarycbb.bsky.social

Deadline: April 20. For more information:
www.findaphd.com/phds/project...
Characterising Cognitive Biases Elicited by Misinformation Using Reinforcement Learning at Queen Mary University of London on FindAPhD.com
PhD Project - Characterising Cognitive Biases Elicited by Misinformation Using Reinforcement Learning at Queen Mary University of London, listed on FindAPhD.com
www.findaphd.com
March 26, 2025 at 5:35 PM
Reposted by Juan Vidal-Perez
When populist regimes target scientific institutions - as is happening in the US today - it is not because their core constituency is anti-science but exactly because even they respect the authority of science.

Science is a dangerous counter-power for the populist leaders.

(2/4)
March 16, 2025 at 11:36 AM
Reposted by Juan Vidal-Perez
We know that economic anxiety & conspiracy beliefs are related. Often this is used to argue that it is key to fix economic conditions to avoid widespread conspiracy beliefs.

But a new study shows that causality runs the other way. The conspiracy beliefs drive the anxiety: doi.org/10.1111/pops...
March 13, 2025 at 10:21 AM
Reposted by Juan Vidal-Perez
Last year, we published a paper showing that AI models can "debunk" conspiracy theories via personalized conversations. That paper raised a major question: WHY are the human<>AI convos so effective? In a new working paper, we have some answers.

TLDR: facts

osf.io/preprints/ps...
February 18, 2025 at 4:30 PM