Thrilled to share our @natcomms.nature.com article: "Broadband synergy versus oscillatory redundancy in the visual cortex", a cross-species research effort led by Louis Roberts. Thread below!
Martin Vinck
@martinavinck.bsky.social
Computational and systems neuroscience, neuroAI, neurophysics; PI @dondersinst.bsky.social, department neurophysics
We invite applications for postdoctoral researchers with strong expertise in in vivo electrophysiology and circuit neuroscience to join our team at the Paris Brain Institute (ICM).
“Dutch people cycle an average of 2.6km each per day. If this pattern was replicated worldwide, annual carbon emissions would drop by 686 million tonnes. This mammoth figure exceeds the entire carbon footprint of most countries, including the UK, Canada, Saudi Arabia and Australia.” @euronews.com
Cycling like the Dutch would slash the world’s carbon footprint
If everybody cycled like the Dutch, we could offset the UK or Australia’s entire carbon footprint.
euronews.com
PhD position in computational neuroscience/brain physics to work with us on biophysical modeling of electric and magnetic brain signals at University of Oslo as part of the Marie Curie EU project @neuronanotechdn.bsky.social. Application deadline: December 9th. www.jobbnorge.no/en/available...
PhD Research Fellow in computational neuroscience/brain physics (290338) | University of Oslo
Job title: PhD Research Fellow in computational neuroscience/brain physics (290338), Employer: University of Oslo, Deadline: Tuesday, December 9, 2025
jobbnorge.no
🚨New publication! I am extremely happy to share this new review article in elife on #Traveling_Waves! @erc.europa.eu @upcite.bsky.social elifesciences.org/articles/106...
Traveling waves across scales: Different mechanisms but same canonical computation?
The review proposes a novel mechanistic distinction between first- and second-order traveling waves that subserves a same canonical computation by ordering neuronal processing to impose a computationa...
elifesciences.org
nice paper on inter-personal / inter-brain interactions with many implications how to measure & conceptualize these interactions
Andres Canales-Johnson@canalesjohnson.bsky.social · 9mo agoDelighted to share our new Perspective article @natrevneuro.nature.com, led by the great @edoardochidichimo.bsky.social : "Towards an informational account of interpersonal coordination". With @loopyluppi.bsky.social, Pedro Mediano, @introspection.bsky.social, Victoria Leong and Richard Bethlehem.
See our latest - collab with @jess-cardin.bsky.social, led by @andrewmoberly.bsky.social. We combined mesoscopic and 2p imaging to show that learning-dependent plasticity of ACh release in visual cortex drives enhanced visual representations and conditioned behavior. 1/5 tinyurl.com/3cfea6df
Learning-dependent cholinergic plasticity reconfigures cortical circuit dynamics
Neuromodulation by acetylcholine (ACh) plays a critical role in reshaping neural dynamics in the neocortex as a function of development, behavioral state, and learning [1][1]–[6][2]. Prior work sugges...
biorxiv.org
New preprint: Neural manifolds that orchestrate walking and stopping Here we develop a new theory for neural generation of walking and how it can stop- Next we test the theory using Neuropixels probes in the lumber spinal cord of freely moving rats. See more: www.biorxiv.org/content/10.1...
🚨🧠🚨 POSTDOC POSITION 🚨🧠🚨 in my lab: www.ru.nl/en/working-a... Connectivity in Working Memory. Deadline 12 Nov! Apply via website; please repost.
Postdoc Position: Neural Circuitry Underlying Working Memory | Radboud University
Do you want to work as a Postdoc Position: Neural Circuitry Underlying Working Memory at the Faculty of Social Sciences? Check our vacancy!
ru.nl
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
Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
The structure of brain connectivity predicts collective neural activity, with a small number of connectivity features determining activity dimensionality, linking circuit architecture to network-level...
journals.aps.org
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...
The missing half of the neurodynamical systems theory
Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions.
thetransmitter.org
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
A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations
Classic theoretical models of cortical oscillations are based on the interactions between two populations of excitatory and inhibitory neurons. Nevertheless, experimental studies and network simulatio...
biorxiv.org
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...
PhD Position: Theory of Learning in Artificial and Biologically Inspired Neural Networks | Radboud University
Do you want to work as a PhD candidate Theory of Learning in Artificial and Biologically Inspired Neural Network? Check our vacancy!
ru.nl
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...
Martin Vinck@martinavinck.bsky.social · last yr.A cortical microcircuit model reveals the unique functional roles of PV and SOM cells in controlling network oscillations and stability. The model predicts hierarchical gradients in oscillation frequencies & seizure propensity based on SOM/PV densities and activation. www.biorxiv.org/content/10.1...
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! 🧵👇 🤖🧠🧪
Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
We investigate the extent to which Spiking Neural Networks (SNNs) trained with Surrogate Gradient Descent (Surrogate GD), with and without delay learning, can learn from precise spike timing beyond fi...
arxiv.org
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
Direct entorhinal control of CA1 temporal coding
Nature Communications - Temporal coding in the hippocampus is thought to be key for memory and predictions. Here, the authors show that blocking one entorhinal input affects two aspects of...
rdcu.be
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?
Martin Vinck@martinavinck.bsky.social · last yr.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...
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...
stemvizier@stemvizier.nl · last yr.Het amendement van Ines Kostić (#PvdD) c.s. over middelen voor het verminderen van apenproeven, is aangenomen. (36725-VIII-11) #TweedeKamer [Volledige tekst]
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 🧪
Log-Normal Multiplicative Dynamics for Stable Low-Precision Training of Large Networks
Studies in neuroscience have shown that biological synapses follow a log-normal distribution whose transitioning can be explained by noisy multiplicative dynamics. Biological networks can function sta...
arxiv.org
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...
Update on the fund for leading international scientists: advance announcement of the Tulip Fund | NWO
NWO has made 25 million euros available to facilitate the transition of top international researchers to the Netherlands. Later this summer, the call for proposals for the Tulip Fund, as the new fund will be called, will open. The fund will enable renowned international scientists from outside the EU to continue their research at a Dutch research institution. Knowledge institutions can nominate top researchers or talents who wish to continue their work here in the Netherlands due to the growing threats to academic freedom to be considered for funding.
nwo.nl
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...
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
Computation in recurrent networks of neurons has been hypothesized to occur at the level of low-dimensional latent dynamics, both in artificial systems and in the brain. This hypothesis seems at odds ...
biorxiv.org
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...
Large-scale interactions in perception and prediction across species | HiLIFE – Helsinki Institute of Life Science | University of Helsinki
Andres Canales-Johnson research group
helsinki.fi
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
Learning Dynamics of RNNs in Closed-Loop Environments
Recurrent neural networks (RNNs) trained on neuroscience-inspired tasks offer powerful models of brain computation. However, typical training paradigms rely on open-loop, supervised settings, whereas ...
arxiv.org