Please repost! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026. The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen.bsky.social. Please apply here until Nov 25: www.uni-giessen.de/de/ueber-uns...

Now in PRX: Theory linking connectivity structure to collective activity in nonlinear RNNs! For neuro fans: conn. structure can be invisible in single neurons but shape pop. activity For low-rank RNN fans: a theory of rank=O(N) For physics fans: fluctuations around DMFT saddle⇒dimension of activity

Timely by Xiao-Jing Wang Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions. www.thetransmitter.org/neural-dynam...

Strongest data yet suggesting that repeated MDMA use causes deficits in declarative memory (e.g., memory for new information, words, etc). #psychedelicscience #MDMA 10.1093/brain/awaf391

Various theoretical properties derived for gamma oscillations based on canonical E-SOM-PV microcircuit connectivity using mean-field modelling, which moves beyond classic Wilson-Cowan models in important ways biorxiv.org/content/10.1... - w. Farzin Tahvili & Matteo Di Volo

New #NeuroAI preprint on #ContinualLearning! Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple'). We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)

Really interesting work by Bakhurin and colleagues challenging the reward prediction error hypothesis of dopamine: www.nature.com/articles/s41... I love this figure which both echoes and undermines the famous figure from Schultz et al. (1997).

Please RT - Open PhD position in my group at the Donders Center for Neuroscience, Radboud University. We're looking for a PhD candidate interested in developing theories of learning in neural networks. Applications are open until October 20th. For more info: www.ru.nl/en/working-a...

Can self supervised learning help understand how the brain learns to see the world? Our latest study, led by Josephine Raugel (FAIR, ENS), is now out: 📄 arxiv.org/pdf/2508.18226 🧵 thread below

Now out in @cp-cellreports.bsky.social: PV and SOM cells play distinct causal roles in controlling network oscillations and stability with Matteo di Volo and Farzin Tahvilli www.cell.com/cell-reports...

New preprint for #neuromorphic and #SpikingNeuralNetwork folk (with @pengfei-sun.bsky.social). arxiv.org/abs/2507.16043 Surrogate gradients are popular for training SNNs, but some worry whether they really learn complex temporal spike codes. TLDR: we tested this, and yes they can! 🧵👇 🤖🧠🧪

To claim that sensory responses of visual cortical neurons are not prediction errors (based on the data the authors have) is unwarranted. There is ample evidence for stimulus surround and visuomotor prediction errors.

Our collaboration - from PhD work - examining input-specific (EC L3) contributions to rate and temporal coding in CA1 place cells is now out in @natcomms.nature.com 🔬🧠 rdcu.be/evWtz

The situation in Germany has also gotten more difficult with NHP experiments in several ways - I am curious if we are / will be seeing the same trend as in the Netherlands. Is Europe setting an example, or is it just relying on the convenient fact that NHP research will be done elsewhere anyway?

This should be bigger news - the Dutch parliament decided to strongly reduce non-human primates experiments. Subsidy for the large primate center - which includes important virology research unique in Europe - is gradually reduced to zero by 2030. Going towards the end of NHP research in NL...

Together with @repromancer.bsky.social, I have been musing for a while that the exponentiated gradient algorithm we've advocated for comp neuro would work well with low-precision ANNs. This group got it working! arxiv.org/abs/2506.17768 May be a great way to reduce AI energy use!!! #MLSky 🧪

It’s ironic that amid huge cuts to science and education funding and enforcement of Dutch-only programs, extra money is spent attracting US scientists. I support international collaboration, but without investing in our own students and education, science can’t thrive. www.nwo.nl/en/news/upda...

The firing of neural populations is high-dim even if their subthreshold activity is low-dim! This work by @bio-emergent.bsky.social and @haydari.bsky.social shows how, with a solvable model, a data analysis technique, and data from mouse visual cortex: www.biorxiv.org/content/10.1...

I am opening one PhD position at the Neuroscience Center @uhneuro.bsky.social, focusing on large-scale neural interactions in perception and prediction (ECoG/LFPs/MEG) across human and non-human primates using comp. modeling and information theory. contact: www.helsinki.fi/en/hilife-he...

All our motor control modelling efforts focus on closed-loop systems for this reason: "...closed-loop and open-loop training produce fundamentally different learning dynamics, even when using identical architectures and converging to the same final solution." arxiv.org/abs/2505.13567

With all the sad developments in the US - go study in the Netherlands: relatively low tuition (and adequate job search visa after graduating) for high-quality programs like this one in Neurophysics or Cognitive Neuroscience at the neuroscience Donders hub

Delighted to share our latest article at #CerebralCortex: "Odorant representations indicate nonlinear processing across the olfactory system". A transatlantic effort led by Jesus Olivares, with Pato Orio, Viktor Sadilek, and Oliver Schmachtenberg. Thread below 👇 academic.oup.com/cercor/artic...

New preprint, w/ @predictivebrain.bsky.social ! we've found that visual cortex, even when just viewing natural scenes, predicts *higher-level* visual features The aligns with developments in ML, but challenges some assumptions about early sensory cortex www.biorxiv.org/content/10.1...

New pre-print reviewing time-series analysis methods based on information theory, with an aim to be accessible, and with a broad focus on applications in neuroimaging. Congratulations @anniegbryant.bsky.social

Come study at the @dondersinst.bsky.social Neurophysics Master!

Please find this English masters program in Neurophysics. Study the brain, artificial neural networks and complex systems through the lens of mathematical modeling and physics. Radboud University / Donders (Netherlands) is one of Europe’s leading universities in Neuroscience. 1/3

New preprint alert 📣📣📣 New results showing how strong the link between brain dynamics and structure is 💫👀🧪 "Spontaneous spiking statistics form unique area-specific fingerprints and reflect the hierarchy of cerebral cortex" 🐾🧠 www.biorxiv.org/content/10.1...

Why are grid cells hexagonal? Turns out, it might be the only way to encode 2D paths with neural sequences. elifesciences.org/reviewed-pre...

Lovely work — and yet another proof that perceptual integration, likely based on recurrent connections, can occur without awareness during the attentional blink. See also www.pnas.org/doi/full/10....

You can find the preprint on arXiv: arxiv.org/abs/2504.14015 We believe that this measure can be used to study and improve various aspects of spiking neural networks, from neuron models to initialisation schemes and training methods! 😊

A sobering assessment of consciousness studies from Hakwan Lau: "the label ’consciousness’ may eventually serve little other function but to signal that the associated studies are subpar and overinterpreted compared to mainstream cognitive neuroscience research"

In spiking neural networks, neurons communicate - as in the brain - via short electrical pulses⚡(spikes). But how can we formally quantify the (dis)advantages of using spikes? 🤔 In our new preprint, @pc-pet.bsky.social and I introduce the concept of "Causal Pieces" to approach this question!

What? "Some [?] might argue that our approach tracks stimulus processing rather than consciousness. Yet, our aim is to challenge and potentially falsify IIT and GNWT, by examining where their predictions differ, rather than to discover the neural correlates of consciousness" 😯

hits the nail right on the head!

15 positions of Fellow in AI in Paris (teaching + research positions) Required field(s) of studies: mathematics, computer science, physics, astrophysics, chemistry, life sciences, cognitive sciences, etc. prairie-institute.fr/fellow-in-ar...

We have a very exciting 4-year PhD position available at the @dondersinst.bsky.social, to better understand how neuronal populations generate magnetic fields and how to measure those intracranially, with Corette Wierenga & @gauteeinevoll.bsky.social. For more info: neuronanotech.eu/phd-projects...

New paper led by @lgrabot.bsky.social, from @lauradugue.bsky.social's lab in Paris. The forward modeling approach combines a stimulus=>cortex encoding model with a cortex=>sensor biophysical head model. This is an alternative to source localization.

How does the brain integrate information from new experiences while preserving established memories? Have a look at our latest preprint, "Experience reorganizes content-specific memory traces in macaques" 🧵 🧪🧠🤖👩‍🔬 www.biorxiv.org/content/10.1...

How does our brain predict the future? Our review of predictive processing + research program is now on arXiv arxiv.org/abs/2504.09614 50+ neuroscientists distributed across the world worked together to create this unique community project.

A large-scale collaborative consensus piece on predictive processing is now online arxiv.org/abs/2504.09614 impressively orchestrated by @jeromelecoq.bsky.social

Interested in foundation models for #neuroscience? Want to contribute to the development of the next-generation of multi-modal models? Come join us at IVADO in Montreal! We're hiring a full-time machine learning specialist for this work. Please share widely! #NeuroAI 🧠📈 🧪

Firing rates in visual cortex show representational drift, while temporal spike sequences remain stable www.sciencedirect.com/science/arti... Great work by Boris Sotomayor and with @battaglialab.bsky.social

Exciting opportunity to join #AllJoined as a computational neuroscientist (post-doc level). This company is aiming to develop non-invasive brain decoding technologies using consumer grade EEG alljoined.com

Job Update💥 I am starting as Assit. Prof. at the Technical University of *Vienna* (Machine Learning Research Unit, TU Wien) 👾 I have PhD positions open in AI and Neuroscience 🧠🧪 To apply email me your CV. ML / AI practice, math nerdiness, and scientific passion are hiring criteria 👨‍💻👩‍💻

Happy to share the recording of my plenary talk at Cosyne 2025 two days ago. You will learn about the statistical physics approach, phase transitions in learning, transformers, sequence models, attention etc. www.youtube.com/watch?v=PurZ...

Kilosort4 detects a LOT of neurons, I recorded 15k neurons in one year 🤯 Traditionally, one would curate these detected units to see if they are well isolated single neurons. This is not feasible anymore, so today let's look at three options that are out there to automate this process! 🤖👇

Are you interested in enhancing robots' autonomous navigation?🤖🧭 By learning and exploiting hippocampal-like motivational cognitive maps, robots can find the location of diverse rewards and orchestrate their behavior according to their internal states. oscarguerrerorosado.github.io/Post-MoHA.html

Only a drop in a very dry bucket of academic wasteland

Want to know what synaptic plasticity rules operate in-vivo to support learning? Read our new paper, combining computational modeling and analysis of place field trajectories during familiarization to novel environments. #BTSP #STDP #hippocampus #CA1 #CA3 #FirstBlueskyTweet

This review paper by @guillaume-garrigos.com on SGD-related algorithms is a fantastic resource, offering elegant, self-contained, and concise proofs in a single, accessible reference. arxiv.org/pdf/2301.11235