Sarah Master retweeted
First preprint of my PhD! Thanks for amazing supervision from Clayton Curtis and all the cool people from Clayspace lab and help from everyone at NYU CBI without which this work would not have been successful.
biorxiv.org/content/10.1101/…
Sarah Master retweeted
The final version is finally out!
Thanks a lot to Dr. Clayton Curtis and all labmates for the generous help! Please check this out if you're interested in neural representations of visual working memories in human brains 😉
doi.org/10.7554/eLife.94191 @eLife
Sarah Master retweeted
New in #JNeurosci: Trying hard may improve memory! @SarahMaster17 @lindromat & Clayton Curtis @NYUPsych find that effort-related neural signals shape memory-related neural signals. jneurosci.org/lookup/DOI/10.…
Sarah Master retweeted
It's currently under peer review on Elife! Thanks to my awesome supervisor Clayton Curtis and the best CurtisLab at @NYUPsych! Feel free to ask us any questions and open to all suggestions!
Visual working memories are abstractions of percepts biorxiv.org/content/10.1101/…
Sarah Master retweeted
🧠 🔃Our Effort team at Ghent University is currently seeking a new postdoc researcher to join a project on cognitive effort and ADHD🚀 Deadline for application is October 16th 2023: jobs.ugent.be/job/Ghent-Post… @GhentCCN @explora_gent
Sarah Master retweeted
Happy to share that our preprint titled “Policy abstraction as a predictor of cognitive effort” with @jordan_rubimac & @badrelab is out! In this work, we establish a performance-independent task feature that is predictive of cognitive effort avoidance psyarxiv.com/by7gk/ 1/15
Sarah Master retweeted
The Department of Psychology and Center for Neural Science at NYU invite applications for a joint, tenure-track position at the assistant professor level to study the neural basis of cognition. The appointment is expected to begin September 1, 2024
apply.interfolio.com/130190
Sarah Master retweeted
New preprint with @milenamr7 and @Anne_On_Tw showing that age differences in learning were largely attributable to changes in a working memory system that was associated with levels of prefrontal glutamate! Congrats!!🎉
elifesciences.org/articles/8…
Sarah Master retweeted
We are hiring! Open-Rank Position in Cognition and Perception (Cognitive Neuroscience) in @NYUPsych. Ad: apply.interfolio.com/116134
Sarah Master retweeted
Many years of work, published! Congratulations @eckstein_maria @SarahMaster17 @WilbrechtL @ccnlab and collaborators not on twitter!
doi.org/10.7554/eLife.75474 @eLife
Sarah Master retweeted
Curtis lab new preprint. We studied the dynamics of spatial working memory in a classical memory-guided saccade task. With fMRI, we observed changes of WM representations reflecting the difference between sensory-driven response & memory maintenance. [1/2]
biorxiv.org/content/10.1101/…
Sarah Master retweeted
Thank you eLife for excellent reviews on our paper! Check it out if you ever wondered why you are getting such different modeling results from your lab mate. Spoiler: The context (aka task) can completely change what our dearly-held model parameters (e.g., learning rate) measure!
#PeerReview from @eLife of 👉🏿 Learning Rates Are Not All the Same: The Interpretation of Computational Model Parameters Depends on the Context biorxiv.org/content/10.1101/… #biorxiv_neursci #reviewedpreprint
Sarah Master retweeted
Interesting finding! But with n=40 in a non-preregistered between-subject design and multiple candidate neurotrasmitters examined (with, I think, no correction for multiple comparisons), we should probably treat this exciting finding with caution. As always, replications needed.
Why do we feel tired after a daylong of mental work?
As we keep doing mental work all day, glutamate levels rises in the lateral prefrontal cortex, which makes it difficult for us to take hard decision and we go for easy stuff with instant gratification.
cell.com/current-biology/pdf…
Sarah Master retweeted
Check out our new paper by @eckstein_maria, Sarah Master, Ron Dahl, Linda Wilbrecht, @Anne_On_Tw!
Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal. DOI: doi.org/10.1016/j.dcn.2022.1…

















