My review on the "Confidence-accuracy dissociations in perceptual decision making" is now published. I think that this will be useful to both experts and newcomers to the field.

www.sciencedirect.com/science/arti...

Beyond binding: from modular to natural vision The classical view of visual cortex organization as a collection of specialized modules processing distinct features like color and motion has profoundly influenced neuroscience for decades. This fram...

Beyond binding: from modular to natural vision: Trends in Cognitive Sciences www.cell.com/trends/cogni...

#neuroskyence #visionscience

My suggestion would be something like:

Brief application: 3 pages of text, CV, list of 10 relevant publications

Reviewers skim through and select top 50%.

Followed by an honest-to-good lottery.

Would allow for actually brave ideas, still select for merit (somewhat), waste less time for all.

Bots have made their way to Prolific experiments. Our lab has stopped online testing of adults entirely now for this reason - we want to know if what we study is real. Probably data collected 2-3 years ago are ok, but moving forward we just can't know. www.pnas.org/doi/10.1073/...

Top left: Experimental paradigm. The authors analyzed EEG data recorded from 49 sleeping human newborns while being exposed to monophonic piano melodies composed by J. S. Bach (real condition) and control stimuli (shuffled condition). Top right: Surprise and entropy. Surprise and entropy associated with each note’s timing (green, St and Et, respectively) and pitch (yellow, Sp and Ep, respectively) were estimated using an unsupervised statistical learning model trained on all stimuli. Dot plots display mean surprise and entropy associated with real and shuffled music, averaged across melodies (left panel), and separately for each melody (right panel). Bottom: Analytical approach. Multivariate Temporal Response Function (mTRF) models were fit to describe the forward relationship between multiple stimulus features and the EEG signal. The full TRF model (leftmost panel) included acoustic low-level features (spectral flux, acoustic onset, IOI, and IPI) and high-level features (surprise and entropy of pitch and timing).

Does our very human ability to anticipate #musical structure exist at birth? @robertabianco.bsky.social @giacomonovembre.bsky.social &co show that #newborns encode #rhythmic (but not melodic) expectations based on statistical regularities in real #music @plosbiology.org plos.io/4kqKVWg

Neural activity correlated with the coefficient of the standard value-based model. Coronal (left) and sagittal (right) views of the brain. Only neural activity in the ACC (MNI coordinate = [−12, 36, 32]; uncorrected p < 0.001) and a peak cluster in the dACC were found (p < 0.005 uncorrected for display purposes).

Traditional behavioral models of bargaining interpret acceptance of #unfair offers as simple reward maximization. This study shows that #inequality aversion also shapes these decisions and identifies the #dACC as a regulator of responses to disadvantageous inequity @plosbiology.org 🧪 plos.io/4kmRadA

Hybrid neural–cognitive models reveal how memory shapes human reward learning - Nature Human Behaviour Using artificial neural networks applied to human data, Eckstein et al. show that good models of reinforcement learning require memory components that track representations of the past.

Hybrid neural–cognitive models reveal how memory shapes human reward learning
www.nature.com/articles/s41...

Incredible article which points out that it often collectively costs more to apply for scarce research funding than the funds awarded to the successful proposals.

What an absurd system we've built in the service of efficiency and competition.

www.nature.com/articles/d41...

‪Voxelwise Encoding Models (VEMs) are a great framework for modeling fMRI data, but it can be difficult to implement. We've made VEM accessible by providing software, tutorials and reviews that guide its use an implementation. Get it here:
gallantlab.org/blog/2025-12...
#neuroscience, #neuroimaging

Universal scale-free representations in human visual cortex Author summary The human cerebral cortex is thought to encode sensory information in population activity patterns, but the statistical structure of these population codes has yet to be characterized. ...

🧠👀
'These findings reveal high-dimensional aspects of cortical representation undetectable with conventional methods, such as RSA, & contradict previous theories suggesting that high-level visual cortex representations are low-dimensional.' #neuroskyence

journals.plos.org/ploscompbiol...

Adaptive stretching of representations across brain regions and deep learning model layers - Nature Communications How the brain adapts its representations to prioritize task-relevant information remains unclear. Here, the authors show that both monkey brains and deep learning models stretch neural representations...

Exciting "new" work illustrating our broken publishing system. Seb presented this work online at neuromatch 2.0 at the height of the pandemic. Then, Xin-Ya worked years on addressing reviewer comments, which added some rigor but didn't change the message. 1/2

Birds are both intelligent and incredibly agile, yet they are quite small. How do they achieve this with their little brains?
They have twice as many neurons per brain mass than mammals, including primates.
www.pnas.org/doi/abs/10.1...

What is driving social foraging dynamics in the wild? In a new pre-print, we investigate decision-making mechanisms in large groups of Finnish ice-fishers competing for resources: osf.io/preprints/ps...
Big thanks to drone pilot Félicie Dhellemmes.

1/n

youtu.be/I_RH2diXcAk

Hierarchical interactions between sensory cortices defy predictive coding Perceptual experience depends on recurrent interactions between lower and higher cortices. One theory, predictive coding, posits that feedback from higher to lower brain regions decreases neuronal activity predicted by higher-level representations. Despite the widespread adoption of predictive coding in neuroscience, the correspondence to neurophysiological findings in sensory cortices remains elusive. Here, we review how the canonical patterns of intra- and inter-cortical interactions that occur during perception and shifts of attention deviate from those predicted by predictive coding. We argue that these circuit interactions are better captured by alternative theories, which we summarize under the umbrella term BELIEF. We review how BELIEF theories account for the inter-areal interactions during attentive perception.

Online Now: Hierarchical interactions between sensory cortices defy predictive coding

Sometimes I think about how from 1935-1975ish, Bell Labs produced an insane amount of revolutionary science and technology, including 11 Nobel Prizes, the transistor, UNIX, C, the laser, the solar cell, information theory, etc. The secret? Provide scientists with ample, steady, no-strings funding.

Meme showing a worker labelled "academic staff" digging a hole in the ground while 10 others look labelled with management titles such as "Director of Human Resources" look on. The caption underneath reads "The only way we can cut costs is to reduce the number of academic staff..."

A meme for the modern university...

Our #sEEG study is now published in Nature Communications: rdcu.be/eIkoG! 🧠
Key finding: We discovered neural evidence accumulation for visual perception that's independent of report preparation—recorded from >3000 channels across 3 experiments!
#Neuroscience #Consciousness #OpenAccess

New in @pnas.org: doi.org/10.1073/pnas...

We study how humans explore a 61-state environment with a stochastic region that mimics a “noisy-TV.”

Results: Participants keep exploring the stochastic part even when it’s unhelpful, and novelty-seeking best explains this behavior.

#cogsci #neuroskyence

detection d' is generally overestimated, coz we tend to be too lazy to collect the necessary data in order to correct for the unequal variance between target present vs absent distributions. turns out we can do this for free - using reaction times data. so, let's do it~

osf.io/preprints/ps...

🧠📈

Common neural choice signals reflect accumulated evidence, not confidence! Now out in @cerebralcortex.bsky.social w @helenevanmarcke.bsky.social @pierreledenmat.bsky.social @yfvisser.bsky.social @denizerdil.bsky.social a.o.

Paper: desenderlab.com/wp-content/u... Thread ↓↓↓

Representational magnitude as a geometric signature of image and word memorability What makes some stimuli more memorable than others? While memory varies across individuals, research shows that some items are intrinsically more memorable, a property quantifiable as “memorability”. ...

New preprint out together with @mheilbron.bsky.social

We find that a stimulus' representational magnitude—the L2 norm of its DNN representation—predicts intrinsic memorability not just for images, but for words too.
www.biorxiv.org/content/10.1...

Transitions in dynamical regime and neural mode during perceptual decisions - Nature Simultaneous recordings were made of hundreds of neurons in the rat frontal cortex and striatum, showing that decision commitment involves a rapid, coordinated transition in dynamical regime and neura...

How does the brain decide? 🧠

Our new @nature.com paper shows that neural activity switches from an 'evidence gathering' to a 'commitment' state at a precise moment we call nTc.

After nTc, new evidence is ignored, revealing a neural marker for the instant when the mind is made up.

rdcu.be/eGUrv

Our new EEG + modeling work using the beads task is now preprinted osf.io/preprints/ps..., led by Christina Dimitriadou @rhulpsychology.bsky.social

Interested in #EEG #FPVS #FaceLearning?

*An Ecological and Objective Neural Marker of Implicit Learning of Unfamiliar Identities*

Preprint 👉 osf.io/preprints/ps...

@bfh-ch.bsky.social University of Malta @snsf.ch

Super-Recognizers, or Su-Perceivers? Insights from fast periodic visual stimulation (FPVS) EEG - Brain Topography The term Super-Recognizer (SR), which describes individuals with supposedly superior facial recognition abilities, may be something of a misnomer. In the same way that blind individuals would not be c...

Hot off the press: 1st ever #FPVS #EEG investigation into #SuperRecognizers

Congrats to my amazing collaborators Jeff Nador, Kim Uittenhove & Dario Gordillo and thanks to all #police SRs & control participants!

@bfh-ch.bsky.social, EPFL, @snsf.ch, Polizei Berlin

link.springer.com/article/10.1...

🚨We believe this is a major step forward in how we study hippocampus function in healthy humans.

Using novel behavioral tasks, fMRI, RL & RNN modeling, and transcranial ultrasound stimulation (TUS), we demonstrate the causal role of hippocampus in relational structure learning.

statistician: But aren't you assuming normality?

A world without experts: alienation in academia Thoughts on the level of alienation in academic work, and how as much as we cannot exit the economy, we must recognise the inherent value of academia.

This is good on the extraordinary alienation that has now grown up in academia. The gap between the values of lecturers and the universities that employ them are now a huge unbridgeable chasm. One stands for education, the other institutional self-interest. blog.matthewbarnard.phd/a-world-with...

Windows Notepad, the native simple text editor, now has formatting options and a Copilot button.

Look what they did to Notepad. Shut the fuck up. This is Notepad. You are not welcome here. Oh yeah "Let me use Copilot for Notepad". "I'm going to sign into my account for Notepad". What the fuck are you talking about. It's Notepad.

It's a pity we have to write conclusions for papers and can't just fade them out, like musicians do.