"we show that [the lateral prefrontal areas] 8Av/45 encodes the color of a visual stimulus, regardless of its behavioral relevance."

www.nature.com/articles/s41...

Exciting work by @kevingoneill.github.io to extend / rewrite the HMetad toolbox in R and STAN 🥳

We supercharge meta-d modeling within a bayesian regression framework, wrapped in a user-friendly R package with bespoke plotting tools (+ a new principled measure of metacognitive bias, meta-delta!)

🧠🧪

a while back i threatened to share this. finally online

for detection tasks we often systematically estimates sensitivity wrong. we need to control for unequal variance in models, but we often don't coz it needs extra data

now there's a virtually 'free' way to do it

www.cell.com/iscience/pdf...

Just wrapped up our amazing CODE intermediate meeting at @bcbl.bsky.social in San Sebastián 🌊!
Our PhD students shared their progress, and we got to hear incredible keynotes from Silvia Lopez-Guzman, Máté Lengyel, and Robbe Goris. So many great conversations! Excited for what’s next🚀!
#MSCA

Individual differences in artificial neural networks capture individual differences in human behavior www.biorxiv.org/content/10.64898/2026.02...

Enhancing fMRI Decoded Neurofeedback with Co-adaptive Training: Simulation and Proof-of-principle Evidence - Neuroinformatics A significant challenge for neurofeedback training research and related clinical applications, is participants’ difficulty in learning to induce specific brain patterns during training. Here, we addre...

This is finally out in NeuroInformatics "Enhancing fMRI Decoded Neurofeedback with Co-adaptive Training: Simulation and Proof-of-principle Evidence" shorturl.at/XCwve and the updated PyDecNef repo github.com/pydecnef/Pyd...
@hakwan.bsky.social @meganakpeters.bsky.social @neuroaure.bsky.social

Python for Computational Science Week Dedicate time for self-study 7-15 Feb 2026 Give yourself one focused week. Your future self will thank you.

Students, brush up your Python for #CompNeuro, #Deep Learning, #NeuroAI & Comp Tools for #ClimateScience courses!

Self-paced, 7–15 Feb, with community support on Reddit.

➡️ Take the pledge: airtable.com/appIQSZMZ0Jx...

#PythonWeek #ComputationalScience #Neuromatch

A little late to the party but Preprint alert! : )
Happy to share our work on unconscious working memory!
Using visual ensemble methods + 2IFC paradigm across two experiments, we address key methodological challenges in measuring awareness! @dsotob.bsky.social
Link: osf.io/preprints/ps...

and more results from a novel paradigm showing unconscious ensemble working memory for emotional faces in a 2IFC task
osf.io/preprints/ps...
great work by @nirmiteem.bsky.social

Replicating the unconscious working memory effect: a multisite Registered Report Abstract. Although in recent years some studies have found evidence suggesting that working memory (WM) may operate on unconscious perceptual contents, dec

2 new papers on awareness and working memory
"Replicating the unconscious working memory effect: a multisite Registered Report"
academic.oup.com/nc/article/2...
@theassc.bsky.social @matthiasmichel.bsky.social @liadmudrik.bsky.social (1)

Replicating the unconscious working memory effect: a multisite Registered Report Abstract. Although in recent years some studies have found evidence suggesting that working memory (WM) may operate on unconscious perceptual contents, dec

So happy this is finally out, almost 4 years in the making!
academic.oup.com/nc/article/2...

A celebration of open and collaborative science:
📜Replicating the unconscious working memory effect: a multisite Registered Report

Thank you so much to the 48 coauthors of the uWM project!🇬🇦

and more results from a novel paradigm showing unconscious ensemble working memory for emotional faces in a 2IFC task
osf.io/preprints/ps...
great work by @nirmiteem.bsky.social

Replicating the unconscious working memory effect: a multisite Registered Report Abstract. Although in recent years some studies have found evidence suggesting that working memory (WM) may operate on unconscious perceptual contents, dec

2 new papers on awareness and working memory
"Replicating the unconscious working memory effect: a multisite Registered Report"
academic.oup.com/nc/article/2...
@theassc.bsky.social @matthiasmichel.bsky.social @liadmudrik.bsky.social (1)

hello - we're looking for a postdoc / staff scientist to do NHP fMRI work at the center (cnir.ibs.re.kr). pls email cv to hakwan@skku.edu to learn more

thanks! we are hoping to update it very soon with more functionality using MindSimulator and share the software

@meganakpeters.bsky.social @hakwan.bsky.social

DecNef is a powerful tool for brain modulation, but it remains difficult to optimize; we built DecNefLab, a simulation framework using “virtual subjs” as ML generative models to prototype protocols before exps, & showed conditions in which DecNef fails to induce learning
arxiv.org/html/2511.14...

Perceptual confidence has near perfect access to the existence of discrete representations, but only weak access to precision - PubMed Perceptual confidence describes the degree to which we believe our internal perceptual representations reflect the external stimuli that caused them. How confidence is derived from internal representations is currently debated, but answering this question is made difficult because the nature of inte …

Clever behavioural experiment exposing how confidence is formed in visual perception

pubmed.ncbi.nlm.nih.gov/41138620/

@aliekhlasi.bsky.social has been doing some brilliant work on domain adaptation approaches to characterizing the nature of higher order representations. Please come see our work at @sfn.org this year!

Similarities and differences in the effects of different stimulus manipulations on accuracy and confidence Visual stimuli can vary in multiple dimensions that affect accuracy and confidence in a perceptual decision-making task. However, previous studies hav…

Glad to see my first-year project is out!

In two experiments, we manipulated multiple stimulus features in a perception task, yet their effects on confidence and accuracy fell into just two distinct behavioral patterns, offering a way to predict the effects of novel stimulus manipulations.

1/n

Fast and robust visual object recognition in young children The visual recognition abilities of preschool children rival those of state-of-the-art artificial intelligence models.

My paper with @stellalourenco.bsky.social ‬is now out in Science Advances!

We found that children have robust object recognition abilities that surpass many ANNs. Models only outperformed kids when their training far exceeded what a child could experience in their lifetime

doi.org/10.1126/scia...

The call for commentaries on our BBS paper is out now (deadline October 15): shorturl.at/Hu3Yu. In the paper (shorturl.at/4Rbk6), we provide recommendations and outstanding issues about designing experimental paradigms, analyzing data, and reporting the results of studies on unconscious processing 👇

Absolutely incredible work led by @patxelos.bsky.social and @dsotob.bsky.social - such a compelling case of unconscious perception! Privileged to have been a little part of this 🧠

Great work by the unstoppable @patxelos.bsky.social

@meganakpeters.bsky.social
@hakwan.bsky.social
@smfleming.bsky.social
@liadmudrik.bsky.social
@theassc.bsky.social

1/Preprint Alert🔔: Across two experiments plus a computational model, we show the visual system compresses complex scenes into summary statistics that can guide behavior without conscious access to the task-defining features. We term this the Ensemble Blindsight effect.

BBS just issued the call for commentaries, and we would LOVE to get yours!! The deadline is October 15th, and the reference number is BBS-D-24-00489R2. Looking forward to hearing what you think about our suggestions for how to study unconscious processes!

Unconscious perception of ensembles, assessed with a bias-discouraging 2IFC task: osf.io/preprints/ps.... Great work by @patxelos.bsky.social, @dsotob.bsky.social et al.!

New Open dataset alert:
🧠 Introducing "Spacetop" – a massive multimodal fMRI dataset that bridges naturalistic and experimental neuroscience!

N = 101 x 6 hours each = 606 functional iso-hours combining movies, pain, faces, theory-of-mind and other cognitive tasks!

🧵below

A transformation from vision to imagery in the human brain Extensive work has shown that the visual cortex is reactivated during mental imagery, and that models trained on visual data can predict imagery activity and decode imagined stimuli. These findings ma...

A transformation from vision to imagery in the human brain. Intriguing new preprint by Roy & Naselaris et al for anyone interested in mental imagery!
www.biorxiv.org/content/10.1...