Nursima Ünver
nunvera.bsky.social
Nursima Ünver
@nunvera.bsky.social
PhD Candidate, Max Planck - University of Toronto Centre for Neural Science and Technology
Reposted by Nursima Ünver
Excited to share our NEWEST PREPRINT led by @rochellekaper.bsky.social!!

osf.io/preprints/ps...

We ask: How do people learn multiple layers of environmental structure – w/o feedback – & how well do they *know* they’ve learned? Turns out, stimulus familiarity matters more than we thought! 🧵👇
OSF
osf.io
January 15, 2026 at 2:48 AM
Reposted by Nursima Ünver
What determines the perception of orientations in visual cortex, sharp contours or oriented spatial frequencies?

It's the contours, the building blocks for shape. Brilliant paper by Seohee Han out in Scientific Reports:
www.nature.com/articles/s41...

@uoftpsychology.bsky.social
January 14, 2026 at 8:12 PM
Reposted by Nursima Ünver
With some trepidation, I'm putting this out into the world:
gershmanlab.com/textbook.html
It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class.

My hope is that this will be a living document, continuously improved as I get feedback.
January 9, 2026 at 1:27 AM
Reposted by Nursima Ünver
New preprint: Inference over hidden contexts shapes the geometry of conceptual knowledge for flexible behaviour.

In this pre-reg study, our core claim was that we don’t just learn stimulus-reward. We infer hidden context and that inference re-wires attention and neural state space on the fly.
1/8
January 8, 2026 at 7:46 AM
Reposted by Nursima Ünver
New preprint alert! 📢 Event segmentation allows us to parse continuous experience into meaningful events. Working memory (WM) is suggested to play a key role in this process, but how?

osf.io/preprints/ps...
OSF
osf.io
December 31, 2025 at 2:41 PM
Reposted by Nursima Ünver
What if we could tell you how well you’ll remember your next visit to your local coffee shop? ☕️

In our new Nature Human Behaviour paper, we show that the 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗮 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 can be measured with neuroimaging – and 𝘁𝗵𝗮𝘁 𝘀𝗰𝗼𝗿𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝘀 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗻𝗲𝘄 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 𝘄𝗶𝗹𝗹 𝘀𝘁𝗶𝗰𝗸.
January 5, 2026 at 6:43 PM
Reposted by Nursima Ünver
@shansmann-roth.bsky.social and I finally finished our paper confirming a unique prediction of the Demixing Model (DM): inter-item biases in #visualworkingmemory depend on the _relative_ noise of targets and non-targets, potentially going in opposing directions. 🧵1/9
www.biorxiv.org/content/10.6...
Noise in Competing Representations Determines the Direction of Memory Biases
Our memories are reconstructions, prone to errors. Historically treated as a mere nuisance, memory errors have recently gained attention when found to be systematically shifted away from or towards no...
www.biorxiv.org
December 26, 2025 at 4:39 PM
Reposted by Nursima Ünver
Many things in the world move, and can even move behind other things. When will the cat reappear? To predict this, remembering the cat’s speed will likely help. But... how do people remember something like speed, which is defined by displacement over both (🤯) space and time? TWEEPRINT ALERT! 🚨🧵1/n
a black cat is sitting in the snow with the words still waiting below it .
ALT: a black cat is sitting in the snow with the words still waiting below it .
media.tenor.com
December 17, 2025 at 4:23 PM
Super excited to see this out in the world!
Our new preprint is out!

Using a continuous-report paradigm, we show that divided attention reliably disrupts long-term memory retrieval by reducing accessibility—not precision.

Two experiments + mixture modeling + TCC.

Link: osf.io/preprints/ps...
OSF
osf.io
December 9, 2025 at 4:09 PM