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Marius Schneider

@mariusschneider.bsky.social
339 followers 607 following 12 posts

Computational neuroscience Postdoc @ucsantabarbara.bsky.social | former IMPRS PhD Student @Ernst Strüngmann Institute schneidermarius.github.io

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Reposted by Marius Schneider
Torben Ott @torbenottlab.org · 02/09/2026
#Psilocybin🍄 shifts visual cortex dynamics towards a state of surprise! Thrilled to share our work w/ OpenScope at @alleninstitute.org lead by postdoc @roberto-defilippo.bsky.social. We combined visual change detection w/ Neuropixels recordings in mice to uncover how psilocybin changes circuits 1/
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Maciej Kania @kaniamaciej.bsky.social · 25/09/2026
Train your model on a task, or fit it to biological data? And once it's optimized, what does it tell us about the brain? 🧠 In our #BernsteinConference satellite workshop, we'll discuss these questions through the lenses of different optimization methods. Check it out in Room 3.104! 🤓😉
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Arman Behrad @armanbehrad.bsky.social · 22/09/2026
How do internal states shape foraging, decisions, and adaptation in a changing world? 🧠🌍 @clairesturgill.bsky.social and I are organizing a #BernsteinConference satellite workshop bringing together lab and wild perspectives on adaptive behavior. Join us 😉
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Joe Bak-Coleman @jbakcoleman.bsky.social · 20/09/2026
For whatever reason the fact that LLMs manifest their task completion with language has had folks wanting to jump the gun on a big thorny question of whether/when they “think” in the sense that we all have come to understand it. They may simply not need “think” to to complete complex tasks.
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Mark Histed @markhisted.org · 10/09/2026
As an AI-adjacent network neuroscience person who has also studied bits of media structure and political economy, I strongly agree with @karlbode.com: The biggest threat, by far, isn’t “superintelligence will soon kill us all!” but instead “information control by oligarchs will crush our society”
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Dan Goodman @neural-reckoning.org · 08/09/2026
If - as now seems likely - LLM companies are mining their logs for juicy problems, then that means that it's very likely that "secret" test sets don't stay secret for long. When looking at new models' performance on benchmarks that date from before that model, we shouldn't take results at face value
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Dan Goodman @neural-reckoning.org · 07/09/2026
I think that this focus on the risk of AI going out of control misses the real danger which is that they will do what ruthless people and companies tell them to do. These models were doing what they were trained to do (not what they were instructed to do but what their training encouraged).
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Tal Golan @talgolanneuro.bsky.social · 28/08/2026
How can we design experiments that make computational models disagree? One section of our new @natrevneuro.nature.com Review with @kriegeskorte.bsky.social and @heikoschuett.bsky.social examines studies that used stimulus sets designed to elicit distinct predictions from competing models. 1/16
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Victoria Bosch @initself.bsky.social · 28/08/2026
Are brains and artificial neural networks converging onto universal representations? There is a seductive idea making the rounds in NeuroAI / machine learning: train systems well enough, and they all converge on the same representation of reality (i.e. a unique world model). We have thoughts™ 1/n
cell.com
The Umwelt Representation Hypothesis: rethinking Universality
Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on univer...
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 27/08/2026
Temporally organized activity in mouse V1 encodes newly sampled visual content during free movement www.biorxiv.org/content/10.64898/20…
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UCSB Computer Science Department @ucsb-cs.bsky.social · 23/07/2026
A split second separates reacting from colliding! UCSB postdoc @mariusschneider.bsky.social earns $94K from Zaleski Discovery Award to build neuromorphic wearables that warn blind travelers in time⚡ Link: www.cs.ucsb.edu/happenings/a... #UCSB #ComputerScience #AssistiveTech #NeuromorphicComputing
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Blake Richards @tyrellturing.bsky.social · 02/06/2026
Sanders' proposal for the government to take a 50% stake in AI companies is, IMO, a good idea. AI will be a critical piece of infrastructure, one which should be built with appropriate safe-guards and environmental planning. Trying to cancel AI is foolish - but leaving it to market forces is too.
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megan peters 🧠 @meganakpeters.bsky.social · 31/05/2026
things i have been saying for a while!
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Valentin Schmutz @bio-emergent.bsky.social · 08/05/2026
Unbelievably honoured to read Tatiana Engel's (@engeltatiana.bsky.social) wonderfully written Preview on our work "Linking neural manifolds to circtuit structure in recurrent networks" (with @lpezon.bsky.social & @gerstnerlab.bsky.social) in this issue of Neuron www.cell.com/neuron/fullt... 🙏
cell.com
Finding clues to circuit structure in population dynamics and single-neuron selectivity
In this issue of Neuron, Pezon et al. introduce neural circuit models with flexible connectivity structure that can generate low-dimensional population dynamics with different distributions of single-...
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hakwan lau @hakwan.bsky.social · 02/05/2026
the ppl we thank in acknowledgement sections are "a more relevant predictor of publication success than formal collaborations (i.e., coauthorship), even after matching for gender, seniority, methodological orientation, geographical location, and institutional prestige." www.pnas.org/doi/10.1073/...
pnas.org
Informal connections outweigh coauthorship ties in academic impact | PNAS
Past work has documented the importance of formal collaboration, particularly coauthorship, in increasing research productivity and innovation. How...
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Gualtiero Piccinini @gualtiero.bsky.social · 29/04/2026
Smell is topographically organized after all. A spatial code governs olfactory receptor choice and aligns sensory maps in the nose and brain: Cell www.cell.com/cell/fulltex...
cell.com
A spatial code governs olfactory receptor choice and aligns sensory maps in the nose and brain
Dorsoventral epithelial position induces graded expression of a transcriptional program that maps each of the 1,100 olfactory sensory neuron subtypes to stereotyped spatial distributions in the epithe...
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Fabian Sinz @sinzlab.bsky.social · 24/04/2026
🧠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
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Shervin Safavi @neuroprinciplist.bsky.social · 07/04/2026
If you need a method to infer causality from neural data, even when the signal is short, check our recent paper: Paper: joss.theoj.org/papers/10.21... Code: github.com/CMC-lab/Tran...
joss.theoj.org
TranCIT: Transient Causal Interaction Toolbox
Nouri et al., (2025). TranCIT: Transient Causal Interaction Toolbox. Journal of Open Source Software, 10(116), 9302, https://doi.org/10.21105/joss.09302
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Katrin Franke @katrinfranke.bsky.social · 31/03/2026
New paper out in @cp-neuron.bsky.social 🎉 What determines contextual modulation in V1? Why does the visual surround sometimes facilitate and sometimes suppress a neuron's response to its preferred stimulus?
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Michael Beyeler @mbeyeler.bsky.social · 25/03/2026
New @annualreviews.bsky.social #neuroscience article 👁️🧠: bionicvisionlab.org/publications... w/ @crisniell.bsky.social, @michaelgoard.bsky.social, @spencerlaveresmith.bsky.social Grateful to be part of this collaboration & learn from such a sharp group while rethinking vision in natural settings!
bionicvisionlab.org
Ecological visual processing in the mouse | Bionic Vision Lab
We review computations that are engaged in ecological contexts, including active sensing, motion processing, scene analysis, distance estimation, and spatial perception.
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andy alexander @andyalexander.bsky.social · 12/03/2026
Come check out our poster "[2-018] Predictive pursuit emerges in high dimensions" Friday from 1-4p if you are at #cosyne2016! This work was led (and is presented) by the amazing @wtredman.bsky.social alongside an awesome team incld. @xiaoxiao-lin.bsky.social, @fatihdinc.bsky.social, and May Chan.
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Michael Beyeler @mbeyeler.bsky.social · 11/03/2026
En route to #Cosyne2026! 🧠🧪🇵🇹 @bionicvisionlab.org is represented with 2 projects: - control of electrically evoked activity in human V1 - predictive model of mouse V1 recovers cell- and state-dependent tuning Check out our posters on Thursday! #CompNeuroSky #NeuroSkyence
[1-213] Control of electrically evoked neural activity in human visual cortex using deep learning. Thursday, March 12, 20:30 - 23:30[1-132] Predictive models trained on natural behavior recover cell- and state-dependent tuning in mouse V1. Thursday, March 12, 20:30 - 23:30
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Marius Schneider @mariusschneider.bsky.social · 12/03/2026
Looking forward to the poster session tonight at #cosyne2026! Poster [1-132] – Session 1 (Thu, Mar 12, 20:30) We trained a predictive digital twin of mouse V1 on freely moving visual experience and use it for in-silico physiology to test how active behavioral states reshape visual tuning.
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CMC Unit @cmc-unit.bsky.social · 09/03/2026
CMC lab is heading to #Cosyne2026, with 3 wonderful posters (1-031, 3-001, and 3-008 also see thread 👇), 2 new enthusiastic team members (@clairesturgill.bsky.social and @maxschwabe.bsky.social ), and tons of excitement for discussions and new ideas!
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Benjamin Cowley @benjocowley.bsky.social · 26/02/2026
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
rdcu.be
Compact deep neural network models of the visual cortex
Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.
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Shervin Safavi @neuroprinciplist.bsky.social · 24/02/2026
This study is super cool (connecting ecology and perception), that suggest some aspects of animal's perception (temporal precision) is shaped by their environment (which somehow resonates w our proposal on internal foraging perspectives on perceptual selection www.sciencedirect.com/science/arti...)
nature.com
Pace of ecology drives the tempo of visual perception across the animal kingdom - Nature Ecology & Evolution
Using phylogenetic comparative methods across 237 species from disparate phyla, the authors show that species with fast-paced ecologies have higher temporal resolution of perception.
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Brad Wyble @bwyble.bsky.social · 21/02/2026
The inevitable conclusion of Sam's mental perambulation here is straight up eugenics, which is why people who are actually smart know better than to even think in these terms.
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Dan Levenstein @dlevenstein.bsky.social · 18/02/2026
With this one in print, I think I finally earned that PhD... 😅 Presented for the first time at the cosyne when the world ended (March 2020). I'll bring over a summary thread from twitter when it was still twitter... www.sciencedirect.com/science/arti...
sciencedirect.com
Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state
Neuronal firing patterns have significant spatiotemporal variability with no agreed-upon theoretical framework. Using a combined experimental and mode…
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Gaute Einevoll @gauteeinevoll.bsky.social · 27/12/2025
It is not often I get an epiphany from our own research. But this year Torbjørn Ness, Christof Koch, and I realized that when we know how to compute electric brain signals generated by a neuron, we also know how to electrically stimulate the same neuron. journals.plos.org/ploscompbiol...
journals.plos.org
Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem
Author summary Electric brain stimulation is widely used in neuroscience and medicine, from mapping brain function during surgery to treating disorders such as Parkinson’s disease and depression. Yet ...
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megan peters 🧠 @meganakpeters.bsky.social · 10/12/2025
Justin's stuff has blown my mind every time I see one of his talks. Today is no different. Beautiful and impactful work.
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Spencer LaVere Smith @spencerlaveresmith.bsky.social · 06/12/2025
Can your AI beat a mouse? This is happening Sunday! robustforaging.github.io NeurIPS workshop 11 to 2 California time on Zoom! @mbeyeler.bsky.social @sinzlab.bsky.social @ninamiolane.bsky.social @crisniell.bsky.social @mariusschneider.bsky.social J. Canzano, Y. Hou, J. Peng, et al. #NeurIPS2025
robustforaging.github.io
Robust Foraging Competition
Can your AI visually navigate better than a mouse?
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Richard Gao @rdgao.bsky.social · 03/12/2025
Finally got the job ad—looking for 2 PhD students to start spring next year: www.gao-unit.com/join-us/ If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply! I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮
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Michael Beyeler @mbeyeler.bsky.social · 26/11/2025
Next: Join our NeurIPS workshop on Dec 7, 2025, 11 to 2 PT on Zoom! Hear from top competitors and our 3 keynote speakers: - @sinzlab.bsky.social - @ninamiolane.bsky.social - @crisniell.bsky.social More info: robustforaging.github.io/workshop #NeurIPS2025 #Neuroscience #AI
Headshots, names, and talk titles for the 3 keynote speakers:
1. Fabian Sinz, University of Tübingen: Foundation models for mouse vision
2. Nina Miolane, UC Santa Barbara: Geometric approaches to neural activity prediction
3. Cris Niell University of Oregon:  Visual processing in freely moving mice
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Michael Beyeler @mbeyeler.bsky.social · 26/11/2025
🎉 Mouse vs AI #NeurIPS2025 Challenge 2025 The first year was a great success: 🤖 290 submissions 👥 22 teams 🌎 7 countries robustforaging.github.io A huge thank you to all who participated!👏 This was our first attempt at a global competition built around real mouse behavior and visual robustness
robustforaging.github.io
Robust Foraging Competition
Can your AI visually navigate better than a mouse?
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Konrad Kording @kordinglab.bsky.social · 18/11/2025
Lets distinguish belief from knowledge. And lets say clearly which is which. We need to take neuroscience seriously if we are to make progress.
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Michael Beyeler @mbeyeler.bsky.social · 27/09/2025
👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human! TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration. www.biorxiv.org/content/10.1...
Diagram showing three ways to control brain activity with a visual prosthesis. The goal is to match a desired pattern of brain responses. One method uses a simple one-to-one mapping, another uses an inverse neural network, and a third uses gradient optimization. Each method produces a stimulation pattern, which is tested in both computer simulations and in the brain of a blind participant with an implant. The figure shows that the neural network and gradient methods reproduce the target brain activity more accurately than the simple mapping.
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Dan Levenstein @dlevenstein.bsky.social · 23/09/2025
Bet: this flavor of same-stimulus, same-task, compare-behavior, compare-physiology is the future of model testing and theory development in neuroscience.
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Marius Schneider @mariusschneider.bsky.social · 23/09/2025
🚨Our NeurIPS 2025 competition Mouse vs. AI is LIVE! We combine a visual navigation task + large-scale mouse neural data to test what makes visual RL agents robust and brain-like. Top teams: featured at NeurIPS + co-author our summary paper. Join the challenge! Whitepaper: arxiv.org/abs/2509.14446
arxiv.org
Mouse vs. AI: A Neuroethological Benchmark for Visual Robustness and Neural Alignment
Visual robustness under real-world conditions remains a critical bottleneck for modern reinforcement learning agents. In contrast, biological systems such as mice show remarkable resilience to environ...
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Spencer LaVere Smith @spencerlaveresmith.bsky.social · 10/07/2025
Can your AI beat a mouse? Mice still outperform our best computing machines in some ways. One way is robust visual processing. 10 years ago I decided to work on HARD behavior driven by COMPLEX visual processing. And that risk is paying off now. #neuroAI 1/n
An illustration of a mouse on a ball looking at a field of grass displayed on monitors.
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Tim Vogels @tpvogels.bsky.social · 30/06/2025
Here is your last reminder that the application deadline for Imbizo.Africa is nearing quickly, the 1st of July, in fact tomorrow. Still the place where diversity is at its best in the world! Tell all who need to hear. #africa #neuro
imbizo.africa
#Imbizo - Simons Computational Neuroscience Imbizo - #Imbizo
Simons Computational Neuroscience Imbizo summer school in Cape Town, South Africa
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Zero-Noise Lab @zeronoiselab.bsky.social · 10/06/2025
Now out in @natcomms.nature.com‬: Mice and monkeys spontaneously shift through comparable cognitive states - and it's written all over their faces! (1/7) www.nature.com/articles/s41...
nature.com
Inferring internal states across mice and monkeys using facial features - Nature Communications
Here, the authors created a virtual reality task for monkeys and mice to explore if internal states like attention are similar across species. Their facial expressions during the task were similar, su...
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Paul Fairie @paulisci.bsky.social · 27/05/2025
A Brief History of Young People Today Don't Want to Work 🧵
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Marius Schneider @mariusschneider.bsky.social · 09/05/2025
Highly recommended for all neuroscientists who want to learn more about computational neuroscience in a supportive community!
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Shervin Safavi @neuroprinciplist.bsky.social · 20/02/2025
Re-posting is appreciated: We have a fully funded PhD position in CMC lab @cmc-lab.bsky.social (at @tudresden_de). You can use forms.gle/qiAv5NZ871kv... to send your application and find more information. Deadline is April 30. Find more about CMC lab: cmclab.org and email me if you have questions.
forms.gle
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Mashbayar Tugsbayar @tmshbr.bsky.social · 15/04/2025
Top-down feedback is ubiquitous in the brain and computationally distinct, but rarely modeled in deep neural networks. What happens when a DNN has biologically-inspired top-down feedback? 🧠📈 Our new paper explores this: elifesciences.org/reviewed-pre...
elifesciences.org
Top-down feedback matters: Functional impact of brainlike connectivity motifs on audiovisual integration
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Ben Collins @bencollins.bsky.social · 12/04/2025
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The Viking (Gunnar Blohm) @gunnarblohm.bsky.social · 10/04/2025
www.nature.com/articles/s41...
nature.com
Foundation model of neural activity predicts response to new stimulus types - Nature
A foundation model trained on neural activity of visual cortex from multiple mice accurately predicts responses to video stimuli and cell types, dendritic features and connectivity within the MICrONS ...
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Martin Vinck @martinavinck.bsky.social · 10/04/2025
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
sciencedirect.com
Firing rates in visual cortex show representational drift, while temporal spike sequences remain stable
Neural firing-rate responses to sensory stimuli show progressive changes both within and across sessions, raising the question of how the brain mainta…
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Nina Kudryashova @ninelk.bsky.social · 07/04/2025
Excited to share our new pre-print on bioRxiv, in which we reveal that feedback-driven motor corrections are encoded in small, previously missed neural signals.
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Marius Schneider @mariusschneider.bsky.social · 27/03/2025
Excited for the poster session at #Cosyne tonight! Come check out the two posters I am involved in—one on neural representations and generalization in mice & RL agents trained on the same foraging task, and another on selective attention in spiking networks.
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