New in @iScience_CP - spearheaded by the inimitable @joan_ongchoco with modeling by @santiagocdeo - Kamin blocking reveals excessive teleological thinking is driven by aberrant associations (and prediction errors) NOT failures of reasoning:
cell.com/iscience/fullt… Have you ever been dumped? Did someone offer comfort by saying, "Everything happens for a reason"? Feeling that uncertain, surprising, events are explicable can bring relief. But too much can veer into conspiracy thinking and delusion. We wondered why...

I’m delighted to share our work on the impact of the pandemic on paranoia and belief updating, out today in @NatureHumBehav : nature.com/articles/s4156… spearheaded by @P_Suthaharan, @ErinJFeeney In January 2020 we began a follow up study to @ErinJFeeney thesis, we reframed our probabilistic reversal learning task socially - instead of card decks, participants chose between collaborators who increased or decreased their grade, with identical contingencies and reversals

New preprint from the lab: psyarxiv.com/mtces/ Paranoia and belief updating during a crisis. It’s what we’ve been focusing on before, during, and after the lockdown. Led by @ErinJFeeney and @PraveenS_ who’ve worked tirelessly. Thread👇 We recently found that people with paranoia respond differently to unexpected uncertainty - they have different priors and learning rates, even when it comes to non-social stimuli: elifesciences.org/articles/56345

Excited to read this! @msprevak @matthewrbroome 1. Sprevak and Colombo. INTRODUCTION. A bird’s eye view of the handbook. Charting the history of computational mind, from Turing through Fodor, Pylyshyn, PDP and dynamical systems. Now machine learning and deep learning. What are the commonalities, differences and challenges?

Ready for Danny Weinberger’s guest lecture #BAP2018 Many features of human temperament are present in early life - also true of mental illness? #BAP2018