📜 New work from us! (me, @vaughanbell, Quinton Deeley, @mehta_mitul72 and @M_Moutoussis)

**D2/D3 dopamine supports the precision of mental state inferences and self-relevance of joint social outcomes**

Preprint 👇👇👇
www.biorxiv.org/content/10.1101/2023.05.02.539031v2

Here we wanted to better specify the causal role of D2/D3 dopamine on the mechanisms underlying mental state inference in social contexts –

Graphical summary 🧑‍🎨👇

We suggest these findings build on previous work concerning how humans model value for self and others in contexts where outcomes have direct relevance for more than one person.

www.sciencedirect.com/science/article/pii/S0896627312006745

and may make sense of previous trust findings

www.biorxiv.org/content/10.1101/2022.06.21.496956v1.abstract

Importantly, on a clinical note, we suggest that anti-psychotics may have a therapeutic effect by reducing the self-relevance of ambiguous outcomes and reducing ongoing paranoia under uncertainty.

Of course, we seek to test whether this applies to support-seeking folks.

Data, scripts and models are free and open! As always. Please find them on the link here.

I’ve also built a (very wip) interactive model we use here for you to live simulate data.

You can find the link by clicking the badge in the github repo.

github.com/josephmbarnby/Barnby_etal_2023_D2D3Modelling

#rstats #shinyapp #rshiny #Dopamine #learning #neuroscience