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.
https://t.co/amAeURlJUl
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 😉
https://t.co/kL3udrTU3r @eLife
New in #JNeurosci: Trying hard may improve memory! @SarahMaster17@lindromat & Clayton Curtis @NYUPsych find that effort-related neural signals shape memory-related neural signals. https://t.co/w0ST0eucdD
I also have to thank my mentor Clay Curtis, who from day 1 of my PhD was 100% on board with me pursuing my passion & studying all things cognitive effort. Clay is the real MVP!!!
Before 2023 is over, here's another new preprint from me! In it, we attempt to elucidate the neural mechanisms of cognitive effort exertion on a working memory task.
https://t.co/Vl9xRRknIV
I have to acknowledge my amazing co-author @lindromat, who contributed a really cool analysis linking whole-brain delay period activity to decoding from visual cortex.
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 https://t.co/K0xICLlItc
🧠 🔃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: https://t.co/iXrifCmJE5 @GhentCCN@explora_gent
Are you interested in applying to a PhD in Psychology? Please join us for a NYU Psych PhD Program Preview!! We will offer info on research @ NYU, and tips on how to write your materials to highlight your strengths. EVERYONE IS WELCOME! https://t.co/usnp1w6QpB
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 https://t.co/7XG5ljLV4v 1/15
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
https://t.co/eFVikRAFmp
Interestingly, we find that specific working memory operations (like updating) are costly in themselves, independent of other potential costs, like error aversion, time on task, or feelings of fatigue.
Check out my newest preprint on bioRxiv! A huge shoutout to my two amazing mentors on this project, Clay Curtis & Peter Dayan, who I cannot thank enough for their support.
https://t.co/Sxut6eskGx
In this work, we use a novel task & computational model to perform cost decomposition on the N-back, revealing what makes it so subjectively costly for subjects to perform!
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!!🎉
https://t.co/8CVczroqiE