Tianhe Wang
@TianHWang
Graduate student @ucberkeley @ivrylab | Cerebellum, Motor learning & cognition
Excited to share our preprint for my first project with Zane (Dr. Weizhen Xie) @IconLaboratory! :) We found that semantic associations across real-world objects promotes VWM performance, but only when the encoding time was brief (0.2s). Preprint: osf.io/preprints/psya… 1/2
It took a while, but this paper with @nathanieldaw is now published in @NatureComms. Reviewers had many good comments, so lots of new stuff here, especially on the computational mechanisms of how people dissociate volatility from stochasticity: nature.com/articles/s4146…
New preprint with @nathanieldaw: Humans can distinguish volatility (rate of change or diffusion noise) & moment-to-moment stochasticity (or observation noise) and adjust their learning adaptively. As theoretically expected, these have opposite effects on humans' learning rate.
(1/3) Pleased to share that this paper with @Anne_On_Tw is now published in @CognitionJourn! We highlight two novel algorithmic insights on human transfer learning and compositionality in hierarchical reinforcement learning. @ccnlab @UCBerkeley @BerkeleyPsych @UCBerkeleyNeuro
New preprint! Super excited to share this project with @Anne_On_Tw that’s been 3 years in the making. We introduce two algorithmic architectures of how humans learn and represent hierarchically structured decision policies via abstractions and compression. osf.io/preprints/psya…
I'm still in shock, but so excited to return to @UniofOxford next year with a @wellcometrust Early Career Award. Here is to five years of cerebellar ultrasound research with @MKFlugge and my other stellar collaborators! Thank you to everyone who helped me on the way. 🥳🎉🧠
New preprint! Super excited to share this project with @Anne_On_Tw that’s been 3 years in the making. We introduce two algorithmic architectures of how humans learn and represent hierarchically structured decision policies via abstractions and compression. osf.io/preprints/psya…
In a new Perspective Mauro Manassi (@mauromanass) & David Whitney propose continuity fields as the mechanism underlying positive serial dependence (where objects/features are biased to appear like previously seen stimuli) Web:go.nature.com/3VNAscT PDF:rdcu.be/dD9iJ