Arousal neuron activity explains brain blood flow in mice The findings could impact how researchers interpret signals from techniques that use blood flow as a surrogate for neural activity.

When it comes to blood flow in the brain, not all neurons are created equal. Rather, only a subset of neurons may be driving vascular changes, a new study finds.

By @claudia-lopez.bsky.social

#neuroskyence

www.thetransmitter.org/neurovascula...

Neural circuits encode prior knowledge of temporal statistics - Nature Neuroscience This study shows that cerebellar circuits learn and encode prior probabilities of event timing. Cell-type-specific neural activity reflects environmental statistics and guides predictive motor behavio...

Our work on how neural circuits in the cerebellum encode prior probabilities led by Julius Koppen is out now in Nature Neuroscience www.nature.com/articles/s41...

Big thanks to Julius Koppen & the whole team! And dedicated to all of us who found inspiration in Bayesian theories of the brain!

The contribution of default mode network areas to visual perception Visual perception and accompanying sensory activity are strongly shaped by top-down influences. Although several sources of this influence have been thoroughly examined in the research literature, one...

Very interesting sounding paper on the role of the default mode network in visual perception by Ujhelyi, Korda & Zaretskaya. The authors propose that the DMN provides top-down information from memory and semantic knowledge to guide perception. #neuroskyence

@lisafeldmanbarrett.com
@earlkmiller.bsky.social
#neuroscience #neuroskyence

The Perspective article by Lisa Feldman Barrett and Earl K. Miller states that categorization is a fundamental property of the brain and.....

The Obleser lab will be hiring soon!

New postdoc (fully funded) and
new PhD or part-time postdoc position (soft-money funded).

Spread the word. Start in Sept/Oct.
Watch out for official announcements!
Please be in touch.

auditorycognition.com
obleserlab.com
hoerhanse.de
lemmi.uni-luebeck.de

PhD researcher for the project: Cognitive Control and Multitasking in the Digital Age We are looking for a motivated PhD researcher to study the behavioral and neural dynamics between cognitive control and multitasking in young and aging populations.

We’re hiring!
Interested in conducting research on cognitive control, multitasking and aging with @gethinhughes.bsky.social, @sarahdepue.bsky.social and me?
We are looking for a PhD candidate to join our lab @cogtex.bsky.social at KU Leuven.
RTs much appreciated!
www.kuleuven.be/personeel/jo...

fully agree with Stefano. I spent years of my training learning to translate scientific thinking into models and code. if that’s no longer a bottleneck, what was the point — and what should replace it?

New preprint! w/ @mheilbron.bsky.social

We found that, even during simple natural scene viewing, human visual cortex predicts—hierarchically in central vision and at higher levels peripherally—reconciling classical predictive coding with recent evidence from animal models and AI (e.g. JEPA) (1/10)

What are the systems in neuroscience that we really have something that we can call “explanation” at all relevant levels, other than reflexive feed-forward like circuits.

Here are a few that I would argue are getting there. Obviously not complete explanations but genuinely satisfying.

Postdoc Position: Affective Neuroscience and Computational Psychiatry at the Donders Centre for Cognitive Neuroimaging | Radboud University Do you want to work as a Postdoc at the Faculty of Social Sciences? Check our vacancy!

Join us for a postdoc @ the Donders Institute; application deadline March 24.
www.ru.nl/en/working-a...

How do humans adapt their behavior in natural, uncertain environments? Open PhD position in the collaborative DFG Excellence Cluster “The Adaptive Mind” (theadaptivemind-excellencecluster.de)
Apply: www.career.tu-darmstadt.de/tu-darmstadt...

Clarifying the conceptual dimensions of representation in neuroscience - Nature Reviews Neuroscience Appeals to representation are widespread, despite neuroscientists’ uncertainty about what kind of findings count as evidence for such claims. In this Perspective, Pohl and colleagues develop a unified...

Clarifying the conceptual dimensions of representation in neuroscience — a Perspective by Stephan Pohl, Edgar Y. Walker, David L. Barack, Jennifer Lee, Rachel N. Denison, Ned Block, Florent Meyniel & Wei Ji Ma

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

LAST CALL Teaching Assistant and student applications close on 22 March at midnight

⏰️ LAST CALL - Student and TA applications close on Sunday 22 March! 🚨

Don't let the deadline pass you by!

➡️ Create a portal account and apply now: portal.neuromatchacademy.org/sign-in

#DeepLearning #ComputationalNeuroscience #NeuroAI #ClimateScience #OpenScience #SummerSchool #Neuroscience #TA

Very happy that this paper from our lab is now out in @pnas.org! What happens when the *same* person experiences the *same* information with a *different* interpretation? Nearly the whole 🧠—well, at least nearly all association cortex—changes how it represents that information! tinyurl.com/p8chj2j7

We have three lectureships available at York Psychology (@yorkpsychology.bsky.social) with a broad remit for research/teaching areas. Home and overseas applications are welcome. Deadline for applications is early April - enquiries welcome. Come and join us! jobs.york.ac.uk/vacancy/lect...

Very happy to share our review on Reinforcement Learning vs Statistical Learning, with @ambrafer.bsky.social and @predictivebrain.bsky.social:

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

A nice summary:
www.sainsburywellcome.org/blog/two-eng...

Aphantasia and visual working memory: No direct evidence of impaired visual working memory in aphantasics, either in behavioral performance or the accuracy of a multivoxel pattern classifier Visual mental imagery and visual working memory are often thought to be closely related. After all, both have been argued to involve the temporary mai…

#Aphantasia and visual working memory: No direct evidence of impaired visual working memory in aphantasics, either in behavioral performance or the accuracy of a multivoxel pattern classifier www.sciencedirect.com/science/arti...

Registration and abstract submission for our symposium Naturalistic Neuroscience – from perception to action and back (University of Bonn 28-29 May 2026) is no open!
www.nn2026.uni-bonn.de/en/registrat...

#NN2026 @unibonn.bsky.social

#naturalisticneuroscience #neuroscience #symposium #cfa

Compact deep neural network models of the visual cortex Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico?

In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony.

It turns out these compact models are surprisingly small!

rdcu.be/e5H8G

Making the Brain Language Ready: A Journey of Discovery For more than four decades, CNS 2026 keynote speaker Peter Hagoort has focused on one key question: What makes the human brain language ready?

What a wonderful keynote by Peter Hagoort! For more information on Hagoort's work, read this exclusive Q&A on the CNS blog:
www.cogneurosociety.org/making-the-b...
#CNS2026 10/ end 🧵

Task learning increases information redundancy of neural responses in macaque visual cortex How does the brain optimize sensory information for decision-making in new tasks? One hypothesis suggests that learning reduces redundancy in neural representations to improve efficiency, whereas anot...

RIP redundancy reduction?

Beautiful work by Liu & colleagues showing that neural redundancy increases with learning, as predicted by a Bayesian model:
www.science.org/doi/10.1126/...

Recurrent cortical networks encode natural sensory statistics via sequence filtering The visual cortex receives a stream of high-dimensional sensory input. The role of dense local, recurrent cortical connections in shaping responses to these inputs has been unclear. Here, we show that...

Recurrent cortical networks encode natural sensory statistics via sequence filtering
www.cell.com/neuron/abstr...
#neuroscience

Great opportunity to work in a terrific lab:

Orbitofrontal cortex drives predictive filtering of sensory responses - Nature Neuroscience Top-down projections from the orbitofrontal cortex carry predictive signals that grow with sound experience and suppress the auditory cortex via inhibitory circuits, revealing a predictive mechanism f...

Orbitofrontal cortex drives predictive filtering of sensory responses

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

#neuroskyence

Why are tactile sensations suppressed during movements? In our new preprint, we explain this as optimal integration of sensory signals with an internal model.

Work led by @fatatai.bsky.social with Dimitris Voudouris, Katja Fiehler and @c-rothkopf.bsky.social

www.biorxiv.org/content/10.6...

New Preprint alert ❗

Holistic and kinematics priors enable predictive neural representations during biological motion perception

With: @predictivebrain.bsky.social and
@moritzwurm.bsky.social

At: doi.org/10.1101/2025...

Forward and backward prediction in learning and perception Predictive processing frameworks have emphasized the role of forward prediction as a critical ingredient for learning and perceptual inference. We ant…

These findings align well with what @clarepress.bsky.social and I discuss in our "Forward and backward prediction" paper, see www.sciencedirect.com/science/arti...

What type of relationship is learned during visual statistical learning? Statistical learning enables observers to extract regularities from their environment, but what statistical regularity is extracted remains debated. While previous research has mainly focused on condi...

Which "statistic" governs statistical learning? Find out in this new article of our lab: journals.plos.org/plosone/arti...

Thrilled to finally share this work! 🧠🔊

Using a new reinforcement-free task we show mice (like humans) extract abstract structure from sound (unsupervised) & dCA1 is causally required by building factorised, orthogonal subspaces of abstract rules.

Led by Dammy Onih!
www.biorxiv.org/content/10.6...

Our paper is out in @natneuro.nature.com!

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

We develop a geometric theory of how neural populations support generalization across many tasks.

@zuckermanbrain.bsky.social
@flatironinstitute.org
@kempnerinstitute.bsky.social

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