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Jörn Alexander Quent

@jaquent.bsky.social

Currently working in #Shanghai | PhD from MRC-CBU/Cambridge Uni | Gates Cambridge | interested in neuroscience of memory | you can call me Alex

847 Posts3102 Follower1269 Folgt
Aidan Horner@aidanhorner.bsky.social · 7d ago

Check out the new preprint from the amazing @adamjcurtis.bsky.social! Memory Benefits for Schematically Incongruent Sequences Depend on the Type of Violation #neuroskyence #psychscisky #cognition 🧪

Adam Curtis@adamjcurtis.bsky.social · 7d ago

📢 New preprint with @aidanhorner.bsky.social and @marwimber.bsky.social investigating how schematic violations shape memory for sequences of events. Memory Benefits for Schematically Incongruent Sequences Depend on the Type of Violation osf.io/preprints/ps...

Sam Gershman@gershbrain.bsky.social · 2w ago

As a matter of experimental design, if you want to draw very broad conclusions, your stimuli and task need to be correspondingly broad. This is not the case for the IBL task, and I doubt any single task would be adequate. I worry that the IBL approach is not suitable for such broad questions.

Petar Raykov@praykov.bsky.social · 4w ago

In our new paper we use 2 fMRI studies to put SLIMM to the test. We find the U-shape function of memory and expectancy, yet no differential hippocampal involvement at the different ends of the expectancy spectrum - highlighting the need to revisit SLIMM. doi.org/10.1098/rstb...

Predictions and declarative memory encoding: two fMRI paradigms provide slim pickings for SLIMM

Abstract. Memory is often better for both highly unexpected and highly expected information. To explain this U-shape relationship between memory and expect

doi.org

The Women In Science Archive@wisarchive.bsky.social · 3w ago

Neuroscientist Brenda Milner turns an incredible 108 years old today! In the 1950s she uncovered the role the hippocampus plays in consolidating memories, and in the 1970s she published her seminal studies of speech lateralization. Wishing her all the best today! tinyurl.com/3am8syhf #WomenInSTEM

Building a Kingdom in the Brain’s Unfashionable District: Brenda Milner’s Century of Neuropsychology

There are scales and metrics you use to evaluate the lives of most neuropsychologists, and then there are those you have to invent in order to speak with any degree of justice about people like Brenda...

tinyurl.com

Daniel Bolnick@danielbolnick.bsky.social · 3w ago

Got this email from UConn Office of Vice President for Research, reminding us of the new NIH policy that any co-authorship with foreigners needs to have *prior approval* from NIH. It should be disclosed in advance in the grant proposal, or approval requested if collaboration arises later. What BS

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samuel mehr@mehr.nz · 3w ago

calling all researchers who collect data from humans 🧠🧪 we are running a very brief survey (<1 min) about jsPsych, the software ecosystem for browser-based data collection. if you use jsPsych, or if you collect data with any other software, please fill it out at tinyurl.com/jspsych-census!

I am writing on behalf of the leadership of jsPsych, the software ecosystem for browser-based data collection used in experiments and surveys from many labs worldwide. It has been difficult for us to figure out how widespread jsPsych usage is, because the software is freely available online and we do not collect any information about downloads, users, experiments posted online, etc. While the software has been cited in thousands of articles, jsPsych usage is likely more widespread than those citations imply, because not every project using jsPsych leads to a citation, and because there are also often substantial delays between actual jsPsych usage and a publication. As such, we are conducting a very brief census of jsPsych users. If you collect data from humans using jsPsych or any other type of software, we would appreciate your filling out a very brief survey (<1 min) at tinyurl.com/jspsych-census. This will help us to understand how many people, labs, and institutions are current or former users of jsPsych, information that will help support the long-term sustainability of the jsPsych ecosystem. We would also appreciate it if you could circulate this message to your lab, your department listserv, and your collaborators, to help ensure that it reaches as many members of the research community as possible. The survey is being distributed by Josh de Leeuw, Melissa Kline Struhl, and myself. Please contact me (sam@auckland.ac.nz) off-list if you have any questions about it.
Mark Thornton@markthornton.bsky.social · last mo.

Now in press at Cortex! "False discovery rate correction promotes confounded neuroimaging designs" Paper 🔓: www.sciencedirect.com/science/arti...

Effect of confound mass on true positive rates under test-wise FDR correction in completely arbitrary data. Confound mass represents how large a confound is in terms of the product of the number of tests it is present in, and its mean effect size across these tests. Results are shown at differing combinations of true effect size, number of tests with true (i.e., non-confound) effects, and sample size. Inflated surface maps of meta-analytic z-statistics from Neurosynth for low-level confounds (top) and high-level cognitive tasks (bottom). Red reflects positive activations, blue reflects negative (de)activations, and darker colors indicate larger z-statistics. Maps are thresholded at |z| = 1 for visualization purposes.The difference in integrated true positive rate between parcel-wise FDR and parcel-wise FWER (y-axis) is plotted as a function of confound effect size. Each point represents 1 out of 5000 studies simulated for each combination of task and confound. Smoothed loess lines are used to better show the overall trends.Effect of FDR-based publication bias on observed confound effects sizes. Simulated meta-analytic confound effect sizes are visualized through violin plots for each combination of task effect and confound effect examined in the neural data simulations. Meta-analyses featuring publication bias (orange) substantially inflate these effect size estimates in all cases, relative to meta-analyses featuring no publication bias (blue). Moreover, this bias was present – and in most cases larger – in the subset of studies that were included in the meta-analysis specifically when the publication bias was based on FDR instead of FWER integrated true positive rates (green).
Mark Thornton@markthornton.bsky.social · 11mo ago

After 5 years, I finally carved out time to turn this blog post on FDR (markallenthornton.com/blog/fdr-pro...) into a manuscript. The preprint features a much broader range of simulations showing how FDR promotes confounds, and how this effect compounds with publication bias: osf.io/preprints/ps...

Effect of confound mass on true positive rates under FDR correction. Confound mass represents how large a confound is in terms of the product of its voxel extent and effect size. Results are shown at differing combinations of true effect size, true effect voxel extent, and sample size.
Noam Ross@noamross.net · 5mo ago

I must complete the required security training. To do so, I must use the learning platform. The learning platform requires signing up for the new credential system. There is a training to sign up for the new credential system.

samuel mehr@mehr.nz · 2mo ago

Open Mind, the free OA competitor to Cognition (El$evier) founded by Richard Aslin, has nearly caught up to it impact-factor-wise Submit your best work! It's a great journal with fast and constructive review, a great ed board, and lots of cool work Open Mind is the future of cogsci journals!

Llanguagemit.bsky.social@languagemit.bsky.social · 2mo ago

—— Open Mind is MIT Press’s Diamond Open Access Cognitive Science journal. We now have our first Impact Factor: 2.9 as of June 2026 Submit your papers to Open Mind direct.mit.edu/opmi

Imaging Neuroscience@imagingneurosci.bsky.social · 2mo ago

Our first Impact Factor is 3.0 — an important milestone for a new journal. As with most new journals, the first IF is affected by the smaller publication volume in the launch year. Latest citation data are encouraging, and the journal’s IF is set to rise in 2027.

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Erica Busch@elbusch.bsky.social · 2mo ago

Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:

Human learning of noninvasive brain–computer interfaces via manifold geometry - Nature Neuroscience

Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...

nature.com