Rosanne Rademaker

The best part though: Working with amazing graduate student *Maria Servetnik* from our lab, who did all the heavy lifting. Not to mention lots of inspiration & input from @mjwolff.bsky.social. I'm am one very lucky PI 😊 n/n

Check out our *preprint* for some cool correlations with behavior (for foblique effect fans). For now, I’m just happy that these fun data are out in the world. It’s been a minute Chaipat Chunharas & I ventured to dissociate allocentric and retinocentric reference frames (7+ years ago?! 🤫)... 10/n

No matter the exact time point, no matter how we quantified the shift, no matter if we looked at decoding or at representational geometry ¬– the reference frame used by the brain to represent orientations was always smack dab in between retinocentric and allocentric 9/n

Well, throughout perception (when the orientation is on the screen) as well as the entire memory delay (the orientation is held in mind), we discovered a reference frame that is in between retinocentric and allocentric coordinates! 8/n

two german shepherds are laying on the floor in front of a fireplace . ALT: two german shepherds are laying on the floor in front of a fireplace .

Conversely, if representations are allocentric and anchored to the real world, no such shift should be observed. In other words: Cross-generalized decoding to the rescue! If you had to guess… What reference frame do you think visual cortex uses for visual processing? 7/n

The trick? If orientations are represented in a retinocentric reference frame, a decoder trained on head-upright trials would predict a 45º shift in decoded orientation when tested on head-tilted trials (after all, a vertical building becomes diagonal on the retina after head tilt). 6/n

Now, even if the pattern *completely shifts* with head tilt, standard (within time point) decoding can only ever infer the exact same label! After all, we as researchers do not know the underlying shift, only the orientation (and hence the label) that was on the screen. 5/n

We want to decode visual orientation from the EEG signal to uncover the reference frame used by the brain. But we have a problem… A decoder only learns the association between a label (e.g., 45º) and a pattern of brain activity. Presented with a new pattern of activity, the label is inferred. 4/n

Do visual parts of the brain represent visual information in an allocentric or retinocentric reference frame? We used a simple orientation recall task while measuring electroencephalography (EEG) signals from human visual cortex. People had their head upright 😀 or tilted 🫠! 3/n

Visual information in our environment is anchored to an allocentric reference frame – a tall building remains upright even when you tilt your head. But head tilt changes the retinal projection of the building from vertical to diagonal. The building is diagonal in a retinocentic reference frame. 2/n

a husky puppy is laying on the floor with its tongue out and wearing a blue collar . ALT: a husky puppy is laying on the floor with its tongue out and wearing a blue collar .

Here’s a thought that might make you tilt your head in curiosity: With every movement of your eyes, head, or body, the visual input to your eyes shifts! Nevertheless, it doesn't feel like the world does suddenly tilts sideways whenever you tilt your head. How can this be? TWEEPRINT ALERT! 🚨🧵 1/n

As someone who once tried to recruit Natalie, I can of course only recommend hiring this extremely smart scientist!!

🌍 Applications are open! The IBRO Exchange Fellowships give early career #neuroscientists to conduct lab visits with several expenses covered during the exchange.

🗓 Apply by 15 Apr: https://ibro.org/grant/exchange-fellowships/

#grant #IBROinAsiaPacific #IBROinUSCanada #IBROinAfrica #IBROinLatAm

#BrainMeeting 🧠 Alert! 🎺

This Friday, January 16th, the Brain Meeting speaker will be Janneke Jehee giving a talk entitled "Uncertainty in perceptual decision-making"

In person or online. For more information:
www.fil.ion.ucl.ac.uk/event

Please spread the word🔊My lab is looking to hire two international postdocs. If you want to do comp neuro, combine machine learning and awesome math to understand neural circuit activity, then come work with us! Bonn is such a cool place for neuroscience now, you don't want to miss out.

New preprint from the lab!

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.

This is very cool! The link between spikes and LFP’s is something that comes up frequently in our (human neuroimaging) lab. Nice to learn more about it!

Research Specialist The Attention, Distractions, and Memory (ADAM) Lab at Rice University is recruiting a full-time Research Specialist (Research Specialist I). The ADAM Lab (PI: Kirsten Adam) conducts cognitive neurosci...

The ADAM lab is hiring a Research Specialist to join us! This role involves conducting human subjects research (EEG experiments on attention + working memory) and assisting with the execution and administration of ongoing projects.

Job posting: emdz.fa.us2.oraclecloud.com/hcmUI/Candid...

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...

@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...

The neural basis of working memory has been debated. What we like to call “The Standard Model” of working memory posits that persistent discharges generated by neurons in the prefrontal cortex constitute the neural correlate of working memory (2/10)

🚨 New paper in @pnas.org to end 2025 with a bang!🚨

Behavioral, experiential, and physiological signatures of mind blanking
www.pnas.org/doi/10.1073/...

with Esteban Munoz-Musat, @arthurlecoz.bsky.social @corcorana.bsky.social, Laouen Belloli and Lionel Naccache

Illustration: Ana Yael.

1/n

No exciting plans for year-end yet?

Why not gear up for your next grant proposal? 💸

Check out our website for recurring and one-time funding lines, awards, and programs! 👉 bernstein-network.de/en/newsroom/...

We’re very happy to share that our work on 3D spatial memory was published in PNAS just before the end of the year! 🎉
Link: www.pnas.org/doi/10.1073/...
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various computational neuroscience / MEEG / LFP short courses and summer schools

📆 updated for 2026!

list of summer schools & short courses in the realm of (computational) neuroscience or data analysis of EEG / MEG / LFP: 🔗 docs.google.com/spreadsheets...

🚀 Excited to announce that I'm looking for people (PhD/Postdoc) to join my Cognitive Modelling group @uniosnabrueck.bsky.social.

If you want to join a genuinely curious, welcoming and inclusive community of Coxis, apply here:
tinyurl.com/coxijobs

Please RT - deadline is Jan 4‼️

All in all, we characterize human memory for speed, showing that speed is better recalled for spatiotemporally bound than texture-like stimuli (the added dimension of space helps!). Thanks for reading, and stay tuned for Giuliana’s next adventures linking speed memory to motion extrapolation! 9/9

We looked hysteresis effects (yes they exist in these data!), the role of eye movements (no they can't explain these findings), and more. But importantly, people are MUCH BETTER at recalling the speed of a single dot moving around fixation, then the speed of more texture-like dot motion!! 8/n

Another cool finding: The memory target and the probe could either move in congruent (e.g., both clockwise) or incongruent (e.g., target moved clockwise, the probe counterclockwise) directions. Speed recall was better for congruent motion! 7/n

The stimulus was presented for 4–6 seconds, and remembered for 1–8 seconds. This mattered not for dot motion (blue), but it *did* matter for the single dot (red) such that errors were lower when people had more time to encode the speed, and higher at longer delays. 6/n