💥I'm thrilled to announce that our paper "A reward self-bias leads to more optimal foraging for ourselves than others" is now published in Scientific Reports! 🧵Curious how self-bias shapes dynamic decision-making? Read it here:

RT @brain_apps: Announcing the second 'Computational Social Cognition Summer School' @unibirmingham and Uni. Leiden. Keynotes from @DianaTa….

And thanks to @KubraFethiye who wrote an amazing piece about this paper here

Curious to learn more? Dive into the full paper here: . Thanks to @brain_apps and @MSNlab, and co-authors @thepsychologist @Svenjakchnhff AndreaPisauro & ArnoGekiere, and @TheCHBH, @OxExpPsy @Psicologia_UAI @cscn_uai.

This study highlights how self-bias influences decision-making, even in tasks designed without explicit self-gain motives. It reveals the adaptive mechanisms behind human foraging behaviour.

Our findings suggest that the brain prioritises self-rewards during dynamic decisions, aligning with evolutionary theories of self-interest in resource collection. But how might these biases shift when foraging for loved ones or in cooperative settings?.

Interestingly, autistic traits influenced how participants processed self-rewards but not others' rewards. This highlights fascinating individual differences in how we make dynamic decisions and opens exciting new research directions.

Across two studies, we found a clear self-bias: Participants were more sensitive to immediate rewards (foreground rates) when foraging for themselves. However, they adapted equally well to the average reward rate (background) in both self and prosocial contexts.

In our task, participants collected rewards for themselves and others, deciding when to switch patches. Switching came at a cost: 'travel time' with no rewards. We tested high/low-yield patches and rich/poor environments. Would self-bias affect their performance?.

According to the Marginal Value Theorem, you should leave a patch when its reward rate (foreground) drops below the environment's average reward rate (background).

To test this, we used a foraging decision-making task inspired by behavioural ecology. Organisms face a crucial question: When should you leave a patch as resources deplete and search for another?.

We know people prioritise their own rewards over others'. But does this 'self-bias' make us better at collecting rewards for ourselves versus others in dynamic, ever-changing environments?.

RT @brain_apps: I would be grateful for the retweets. Open PhD position in my group to look at using cognitive computational Neuro approach….

And she won the best poster in the conference! So proud @FioMacchiavello

@Psicologia_UAI.

I couldn't be prouder! My first student as PI, Fiorella Macchiavello, presenting her first poster at her first scientific conference @CentroCOES, held at @UAI_VINA. Happy student, happy supervisor, happy science!

RT @UAI_VINA: AHORA 🟠. Nuestro académico @Psicologia_UAI Sebastián Contreras expone sobre “Neurociencia en la toma de decisiones”, en el ma….

RT @CentroCOES: 🎓¡No te pierdas la XI Conferencia Internacional COES!. En esta conferencia exploraremos cómo la incertidumbre impacta el co….

RT @boryana_td: It's OUT! 🥳My first (shared) first author paper with @kim_doell, Madalina, @jayvanbavel and our 254 amazing collaborators i….

RT @CentroCOES: 📢 ¡Atención investigadores! Se ha extendido el plazo para el call for papers de la XI Conferencia Internacional de COES.….