Thrilled to share a new preprint on work with Mark Ho and Wei Ji Ma! We propose to abstract planning as an information search problem, and derive a model which produces heuristics for meta-planning, or determining which action to plan for.

More in 🧵 osf.io/preprints/psya…

Come join us! Wei Ji Ma and I are recruiting a postdoc to study human planning in chess using a massive dataset of online chess matches. The postdoc will join both of our labs, as well as an NSF-funded collaboration with the Griffiths Computational Cognitive Science Lab at Princeton.

apply.interfolio.com/139253

I'll be presenting a poster on this work at NeurIPS Gaze Meets ML @ NeurIPS 2023 workshop on Saturday.

I am absolutely thrilled to be joining Emory Psychology to start the Translational Lab (sites.google.com/view/translati…) this fall!

We will apply computational tools to examine when and why decision-making goes awry in depression and anxiety and how to improve it

One of the coolest modeling projects I've seen in a while. Thinking of rumination using POMDP. Highly recommended.

Excited to share an early output from our 'Modelling Rumination as a State-Inference Process' theory work with Yael Niv Sashank Pisupati ! Presenting this as a talk CogSci Society in Sydney - hope to see you there & in Melbs! psyarxiv.com/tfjqn full length paper to follow!👀

In our lab's latest paper, we introduce a novel modeling approach using RNNs to reveal the cognitive algorithms behind animal decision-making.

Check out our preprint, led by UCSD PhD student Ji-An Li and co-authored by Marcus Benna: biorxiv.org/content/10.110…

Really excited to share our new preprint where we try and demonstrate that investing effort in creating reliable and acceptable measures can help us tease apart which cognitive processes are targeted by different elements of cognitive-behavioural therapies acplab.org

👋New preprint on dynamical mechanisms of psychotherapy! ➡️acplab.org/wp-content/upl… Joint work with Quentin Huys at Max Planck UCL Centre for Computational Psychiatry / UCL Psychiatry. 🧵below 👇 1/10

A new Science paper found dopamine implements learning of *backward* predictions in rodents Vijay Mohan K Namboodiri. In 4 preregistered studies (n=1201), I and Eran Eldar find humans also learn these & adaptively switch their learning and planning direction 🧵(1/n) psyarxiv.com/wdbg4

Happy to share a paper from my time working with Robb Rutledge at Max Planck UCL Centre for Computational Psychiatry - we found by analyzing 27,000+ participants that risk taking for losses, but not gains(!) increases with time of day. With the wonderful @matildevaghi & Ray Dolan
nature.com/articles/s4159…