Martin Vinck
martinavinck.bsky.social
Martin Vinck
@martinavinck.bsky.social
Computational and systems neuroscience, neuroAI, neurophysics; PI @dondersinst.bsky.social, department neurophysics
Reposted by Martin Vinck
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).
December 17, 2025 at 2:31 PM
Reposted by Martin Vinck
“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.
www.euronews.com
December 13, 2025 at 10:01 PM
Reposted by Martin Vinck
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
www.jobbnorge.no
November 24, 2025 at 2:22 PM
nice paper on inter-personal / inter-brain interactions with many implications how to measure & conceptualize these interactions
Delighted 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.
November 19, 2025 at 7:30 PM
Reposted by Martin Vinck
Here are our contributions for #SFN2025 #SFN25, Sunday and Monday morning. Hope to see you there!
November 14, 2025 at 8:45 PM
Reposted by Martin Vinck
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...
www.biorxiv.org
November 14, 2025 at 3:02 AM
Reposted by Martin Vinck
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...
November 9, 2025 at 9:33 PM
Reposted by Martin Vinck
🚨🧠🚨 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!
www.ru.nl
November 9, 2025 at 9:17 AM
Reposted by Martin Vinck
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...
November 4, 2025 at 1:57 PM
Reposted by Martin Vinck
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
November 3, 2025 at 9:47 PM
Reposted by Martin Vinck
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.
www.thetransmitter.org
October 29, 2025 at 12:28 PM
Reposted by Martin Vinck
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
October 27, 2025 at 3:33 AM
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
October 24, 2025 at 11:02 AM
Reposted by Martin Vinck
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)
June 10, 2025 at 1:17 PM
Reposted by Martin Vinck
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).
October 14, 2025 at 11:05 AM
Reposted by Martin Vinck
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!
www.ru.nl
September 22, 2025 at 5:17 PM
Reposted by Martin Vinck
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
September 3, 2025 at 5:18 AM
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...
August 11, 2025 at 1:56 PM
Reposted by Martin Vinck
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
July 24, 2025 at 5:03 PM
Reposted by Martin Vinck
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.
July 14, 2025 at 3:44 PM
Reposted by Martin Vinck
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
July 12, 2025 at 5:09 PM
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...
Het amendement van Ines Kostić (#PvdD) c.s. over middelen voor het verminderen van apenproeven, is aangenomen. (36725-VIII-11) #TweedeKamer

[Volledige tekst]
July 12, 2025 at 5:07 AM
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...
Het amendement van Ines Kostić (#PvdD) c.s. over middelen voor het verminderen van apenproeven, is aangenomen. (36725-VIII-11) #TweedeKamer

[Volledige tekst]
July 12, 2025 at 4:50 AM
Reposted by Martin Vinck
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
July 9, 2025 at 2:34 PM