(1/6) Do our visual neuroscience findings actually replicate? And do they generalize beyond the datasets they were found in? We've lauched re:vision, a community-driven initiative to answer these questions, and we are looking for scientistis to participate. re-vision-initiative.org

Replay of procedural memory is independent of the hippocampus 👀👀 www.nature.com/articles/s41...

Replay of procedural memory is independent of the hippocampus - Nature Neuroscience

Thompson, Rollik and colleagues show that, during sleep, the brain replays procedural memories in the striatum independently of the hippocampus. Replay content was shaped by prior reward and error out...

nature.com

Excited to share our review in @cp-neuron.bsky.social with @lauriebayet.bsky.social and @mickbonner.bsky.social! We describe how implementing principles from child development can advance the mechanistic plausibility and capacities of AI models We packed A LOT into this review, here's a quick 🧵

Neuron@cp-neuron.bsky.social · 2w ago

Now officially published: our paper "Sensory horizons and the functions of conscious vision" w/ @smfleming.bsky.social, with the commentaries, and our response: Article: www.cambridge.org/core/journal... Commentaries: www.cambridge.org/core/journal... Response: www.cambridge.org/core/journal...

Now online (Neurocomputing), led by Nhut Truong, "Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks". Improvements found for image-noise, weight perturbations and adversarial attacks. www.sciencedirect.com/science/arti...

Excited to share that our paper has been accepted for a talk at #CogSci2026: Path Integration and Object-Location Binding Emerge in an Action-Conditioned Predictive Sequence Network Linda Ariel Ventura, Victoria Bosch, Tim C. Kietzmann, and Sushrut Thorat. Preprint: arxiv.org/abs/2602.03490. ⛓️

Path Integration and Object-Location Binding Emerge in an Action-Conditioned Predictive Sequence Network

Adaptive cognition requires structured internal models of objects and their relations. Predictive neural networks are often proposed to learn such world models, but how these are instantiated and how ...

arxiv.org

The hippocampus sits at the interface of perception & memory, allowing us to link past, present, & future through its role in generating predictions. Excited to share this theme issue in @royalsociety.org's Philosophical Transactions B, co-edited with @barense.bsky.social & @mariamaly.bsky.social

Volume 381 Issue 1954 | Philosophical Transactions of the Royal Society B | The Royal Society

Influential themed journal issues across the life sciences.

royalsocietypublishing.org

It was a delight to co-edit this issue with @peterkok.bsky.social & @barense.bsky.social, who are every bit as amazing to work with as you might expect 😊 I'm grateful to the authors, whose papers make this such an exciting collection, and to @catalinayang.bsky.social for the gorgeous cover!

Peter Kok@peterkok.bsky.social · 4w ago

The hippocampus sits at the interface of perception & memory, allowing us to link past, present, & future through its role in generating predictions. Excited to share this theme issue in @royalsociety.org's Philosophical Transactions B, co-edited with @barense.bsky.social & @mariamaly.bsky.social

Separating the neural correlates of #consciousness from those related to unconscious processing is challenging. This #EEG study by @maelanmenetrey.bsky.social &co suggests two-stages of visual processing as individual stimuli are integrated into a conscious percept. 🧪 #AcademicSky plos.io/4wwzxNb

Both brains and RNNs can re-use components of computation across similar tasks or contexts. But what exactly are those “shared components”? How can they be used to solve several tasks? We address these questions in a new preprint with @avm.bsky.social! Link: www.biorxiv.org/content/10.6...

Interpretable compositional computation with recurrent neural networks

Flexible cognition utilizes reusable components to enable rapid adaptation of behavior to different contexts or tasks. Analysis of artificial neural networks trained on multiple tasks suggested that t...

biorxiv.org

Lovely to see the full range of excellent commentaries on our BBS article with @matthiasmichel.bsky.social, together with our response, now out: Target article: www.cambridge.org/core/journal... Commentaries: www.cambridge.org/core/journal... Our response: www.cambridge.org/core/journal...

Matthias Michel@matthiasmichel.bsky.social · last yr.

Very happy to announce that our paper “Sensory Horizons and the Functions of Conscious Vision” is now out as a target article in BBS!! @smfleming.bsky.social and I present a new theory of the evolution and functions of visual consciousness. Article here: doi.org/10.1017/S014.... A (long) thread 🧵

We are hosting a special issue on "Is There More to Consciousness Than Computation?" in @nconsc.bsky.social. Full information here: academic.oup.com/nc/pages/cal... With @krysdolega.bsky.social and Yair Pinto.

Call for Papers | Neuroscience of Consciousness

Neuroscience of Consciousness (NCON) is a peer-reviewed, fully open access journal that provides a unique forum for the interdisciplinary fields of consciousnes

academic.oup.com

NEW PAPER. Why do larger networks train better? "Because they contain more candidate *sub*networks that can learn the task" → lottery tickets This popular explanation uses an appealing but misleading metaphor🧵 We propose an intuitive alternative grounded in theory: escape dimensions

1/n New preprint: What biology can, and cannot, tell us about conscious AI arxiv.org/abs/2606.02121 With @ulysse-klatzmann.bsky.social

What biology can, and cannot, tell us about conscious AI

Progress in AI is turning machine consciousness from a philosophical curiosity into a societal issue, and has led to criticism of the widespread computational functionalism framework. Biological Natur...

arxiv.org

🚨New dataset just dropped🚨 Introducing Places in the Wild: 67,000 RAW-format photographs (45 mpix) densely sampled from 810 places (260 basic-level categories). This is 11x the number of pixels in ImageNet! Preprint is here: arxiv.org/abs/2606.02481 1/

Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research

Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture conditions and limi...

arxiv.org

Looks like geons are alive and well: this paper was rated among the top 1.8% of all papers at CVPR: bardofcodes.github.io/superfit/

A short highlight of the beautiful recent work by @varunswadia.bsky.social, Doris Tsao et al., providing single-neuron evidence of the overlap between imagery and perception! www.nature.com/articles/s41...

Can neural representations from different people be translated into a shared space without paired data? In our preprint, "Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry", with Rishi Jha and @fuentemilla.bsky.social, we test this using fMRI 🧵👇

I'm proud to say we are releasing LAION-fMRI, a densely sampled 7T fMRI dataset of natural images, with very broad stimulus sampling for testing countless hypotheses and for deeply exploring brain representations. The dataset is now available at laion-fmri.hebartlab.com What does LAION-fMRI offer? 🧵

LAION-fMRI - a 7T fMRI dataset of human vision

LAION-fMRI (LfMRI / LAION MRI dataset): 5 subjects, 25,052 launch-release natural images, 165 acquired 7T fMRI sessions with single-trial GLMsingle betas, retinotopy, localizers, and diffusion.

laion-fmri.hebartlab.com

Finally, today is the day: Josefine Zerbe will present and release our new multi-echo 7T fMRI dataset LAION-fMRI during #VSS2026, with >30 fMRI session per subject and unprecedented stimulus diversity. Come to Talk Room 1 (Scene perception) today at 5:15. Details will follow in a separate thread!

Researching visual imagery? Consider submitting to this new cross-journal special issue on visual imagery at Nature Communications, Communications Psychology, and Scientific Reports! We welcome a broad range of topics and methods - more info below 👇 www.nature.com/collections/...

Children acquire object category representations from their everyday experiences in the first few years of life. What do the inputs to this learning process actually look like? New preprint! arxiv.org/abs/2605.14990

Characterizing the visual representation of objects from the child's view

Children acquire object category representations from their everyday experiences in the first few years of life. What do the inputs to this learning process look like? We analyzed first-person videos ...

arxiv.org

Excited about our new preprint: “The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream” arxiv.org/abs/2604.12825 Work with Sushrut Thorat, Anna Mitola, Paolo Papale, Peter König & Tim Kietzmann 🧵 thread below

The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream

In studying primate vision, a large body of work focuses on the first feedforward sweep. During this initial time window, information is thought to pass through ventral stream regions in a stage-like ...

arxiv.org

We wrote a book! www.cambridge.org/core/books/s... Consciousness science is a fascinating but bewildering field: many competing theories, little consensus, and big open questions. If you are looking for an accessible guide through this complex landscape, this book is for you.

Scientific Theories of Consciousness

Cambridge Core - Neurosciences - Scientific Theories of Consciousness

cambridge.org

Yay 😃 well done @adriendoerig.bsky.social Aaron & Michael !

Most excellent conference. See you there?

Tim Kietzmann @timkietzmann.bsky.social · 3mo ago

Happy to announce the 3rd iteration of NEAT (Neuro-AI-Talks), which will take place in Osnabrück September 14th-15th 2026. NEAT is a (deliberately small scale) NeuroAI workshop that brings together researchers from neuroscience and AI. www.kietzmannlab.org/neat2026/ More information below 👇

🧠Introducing OmniMouse: One of the largest datasets in neuroscience along with a systematic study of scaling properties of brain models Co-led by 🤩 K. Willeke, @pollytur.bsky.social and @alexrgil14.bsky.social Models trained on up to 3M neurons, >150B tokens

CfA: Workshop “Philosophical Issues in Neural Computation” (@ruhr-uni-bochum.de) Jun 2–3 2026. Deadline: March 31. Further Speakers: @adriendoerig.bsky.social, @francesegan.bsky.social, @olivia.science, @gualtiero.bsky.social, @seelikat.bsky.social, Oron Shagrir.

Johannes Brinz@johannesbrinz.bsky.social · 6mo ago

CfA: Workshop “Philosophical Issues in Neural Computation” (@ruhr-uni-bochum.de) Jun 2–3 2026. Deadline: March 31. Further Speakers: @adriendoerig.bsky.social, @francesegan.bsky.social, @olivia.science, @gualtiero.bsky.social, @seelikat.bsky.social, Oron Shagrir. philevents.org/event/show/1...

Turns out that individual differences in accuracy, confidence, and RT among ANNs that only differ in their random initialization mimic the individual differences in humans. It may be time for NeuroAI to take individual differences even more seriously. Check out Herrick's thread 👇

herrick fung@herrickfung.bsky.social · 6mo ago

🚨 New preprint on individual differences in artificial neural networks and human behavior. We show that individual differences among ANN instances trained with different random initializations capture the individual differences in human behavior. 1/8

NSD-synthetic, the out-of-distribution companion dataset of NSD consisting of 7T fMRI responses to 284 artificial images, is now published. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.1038/s414...