**Four** positions in AI/ML for biology at @dukemedschool.bsky.social, including in Neurobiology. @scottsoderling.bsky.social and David Page are leading a tremendous initiative in Discovery AI. Wonderful colleagues, wonderful place.

AI/ML for Biology - 4 tenure-track assistant professor positions - Durham, North Carolina job with Duke University - Biochemistry & Cell Biology | 12862109

Discovery AI Initiative and Departments of Biochemistry and Cell Biology, Integrative Immunobiology, Neurobiology, and Pharmacology & Cancer Biology

nature.com

Come join us in Toronto. UofT is hiring an Associate Professor/Professor and endowed Hinton Chair in Artificial Intelligence. @utoronto.ca @uoftcompsci.bsky.social jobs.utoronto.ca/job/Toronto-...

After my lecture at the FENS-CHEN Cambridge summer school, I shared this coding tutorial (pytorch): It shows how to fit RNN (and spiking RNN) to electrophy to predict optogenetic perturbation from cortical recordings. github.com/guillaumeBel...

GitHub - guillaumeBellec/perturbation_testing_tutorial

Contribute to guillaumeBellec/perturbation_testing_tutorial development by creating an account on GitHub.

github.com

I just gave a short tutorial on what is a spiking neural network and how to train one. From zero to a trained network in one hour. Slides and code you can run in Colab at this repo: github.com/neural-recko... 🤖🧠🧪

GitHub - neural-reckoning/cambridge-fens-chen-summer-school-2026: Code and slides for 2026 FENS Chen Summer School on Learning with spikes

Code and slides for 2026 FENS Chen Summer School on Learning with spikes - neural-reckoning/cambridge-fens-chen-summer-school-2026

github.com

How can the brain learn the hidden hierarchical structure from high dimensional data? In our latest work, we use synthetic datasets to analyze two classes of bio-plausible learning rules: variants of Direct Feedback Alignment, and local self-supervised learning. We find only the latter succeeds.

Accepted at ICML 2026. I am extremely proud of this work. Local learning is starting to work really well! The theoretical perspective of local learning minimizing an emergent global objective has been eye opening Congrats @zihan-wu.bsky.social and Ariane Delrocq! Great team

Zihan Wu@zihan-wu.bsky.social · 2mo ago

Can we match self-supervised backpropagation using local learning rules? We show it is possible in our new paper accepted by ICML. We achieve: 1. theoretical equivalence to BP in a controlled setup 2. new SOTA for local learning across image datasets 3. same performance as BP on multiple datasets

🏹 Job alert: Post-doctoral Fellowship in Neuroimaging at IMT Atlantique 📍 Brest 🇫🇷 ⏰ 17 July 🔗 https://bit.ly/4xk2Ljy

Institut Mines-Télécom - Post-doctoral Fellowship in Diffusion Neuroimaging – 24-month Fixed-Term Contract

A leading general engineering school within IMT (Institut Mines-Télécom), the number one group of engineering schools in France, IMT Atlantique aims to support transitions and train responsible engine

bit.ly

New job posting! If you're interested in working with our group, check it out. 3 year position (with possibility to extend) at >100k. alleninstitute.org/careers/jobs...

Open Positions | Allen Institute

Build your career at the Allen Institute. Explore current job openings and find your place in a team driving some of the most ambitious open science in the world.

alleninstitute.org

Excited to share our new paper accepted at ICML 2026 with @tyrellturing.bsky.social and Doina Precup! 🇰🇷 See you in Seoul. A major challenge in continual reinforcement learning is balancing: • plasticity (learning new things) • stability (not forgetting old ones) 🧵 1/15

We have a new postdoc position to work on Neuro AI and human intracranial recording with Pierre Bourdillon and I: Apply here: docs.google.com/forms/d/e/1F... Lab info: bourdillon-titan-lab.fr feel free to RT ;)

I‘m looking for postdoc candidates in computer vision and control theory (2 positions). Get in touch if you’re interested.

Prestige bias is a major problem in academia: success in academia leads to other unfair advantages. Prestige bias is bigger in fields that are less scientific (eg., art, history). Fields where claims are more testable have lower prestige markers (eg math, physics). kurtishingl.com/files/PTTS_l...

this is such a powerful way to support the international neuroscience community, and a massively rewarding experience and great line on your CV to boot. please join us!

Neuromatch@neuromatch.bsky.social · 3mo ago

We’re looking for PhD-level researchers to volunteer as Professional Development Mentors for our July 2026 courses in #CompNeuro, #DeepLearning, #NeuroAI, and #ClimateScience. The commitment is just 3 hours total (three 1-hour sessions). Learn more and apply: neuromatch.io/mentorship/

Alireza Modirshanechi, Benjamin Eysenbach, Peter Dayan, Eric Schulz: Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization https://arxiv.org/abs/2605.06145 https://arxiv.org/pdf/2605.06145 https://arxiv.org/html/2605.06145

I don't think our culture is ready for accepting this idea, and probably some percentage of humans never will be. My guess: hundreds of years from now a majority will agree with this, but many still won't, and it will correlate with religion and education. (See, e.g., Darwinian evolution) 🧠📈 🧪

Earl K. Miller@earlkmiller.bsky.social · 3mo ago

There Is No Hard Problem of Consciousness www.noemamag.com/there-is-no-... #neuroscience

1/7 New paper accepted as ICML spotlight arxiv.org/abs/2605.03517! We unify self-supervised learning (SSL) algorithms (e.g., contrastive, VICReg, stopgrad) via latent distribution matching (LDM), which matches an induced latent distribution to an explicit latent model.

For those interested in normalized gradient methods and optimal transport: I introduce a new class of "spectral" Wasserstein distances for which spectrally normalized gradient descent (Muon but without momentum and small step size ...) is a spectral-W gradient flow: arxiv.org/abs/2604.04891

Muon Dynamics as a Spectral Wasserstein Flow

Gradient normalization is central in deep-learning optimization because it stabilizes training and reduces sensitivity to scale. For deep architectures, parameters are naturally grouped into matrices ...

arxiv.org

"The Brain, In Theory" is out today! A short excerpt in The Transmitter @thetransmitter.bsky.social www.thetransmitter.org/theoretical-...

‘The Brain, In Theory,’ an excerpt

In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming…

thetransmitter.org

Wanna do neuroscience in Paris but can't find interesting lab? Want to come do a sabbatical but don't know who to collaborate? Check this webpage aggregating ~all the neuroscience labs (+200) in Paris. ⚠️only the information of 'verified' profiles is reliable⚠️ Please retweet 🙏 parisneuro.fr

🧠👩‍🎓 Would you like to study #CompNeuro in Berlin? You can still enrol in the International Master Program Computational Neuroscience at the #BCCNBerlin for an October start -- the deadline has been extended to April 15! Find more information here 👉 bit.ly/4c1h5na #BernsteinNetwork #Neuroskyence

The arXiv is becoming a nonprofit separate from Cornell, and they're looking for a CEO. Please repost to let good candidates know! @dabacon.tachyon.institute, @harrowing.bsky.social, @michaelnielsen.bsky.social jobs.chronicle.com/job/37961678...

Chief Executive Officer - New York City, New York (US) job with arXiv | 37961678

arXiv seeks its first CEO to champion open, free scientific discovery and guide the platform’s next chapter as an independent nonprofit.

jobs.chronicle.com

I just made an account and voted for this biology laboratory made of LEGO to "promote biological research and inspire more people into the world of biology". They need 10K votes. Reposting and/or voting below would be helpful. 🤗 beta.ideas.lego.com/product-idea...

Biological Laboratory | LEGO® Ideas

This is a two-floor realistic Biological Laboratory building. In this design, I try to tell stories about biologists, introduce biology concepts to general publ…

beta.ideas.lego.com

Episode #38 in #TheoreticalNeurosciencePodcast: On extracting spiking network models from experiments - with Richard Gao @rdgao.bsky.social theoreticalneuroscience.no/thn38 How to fit spiking network models to experimental data when there is no unique parameter set giving the best fit.

Very refreshing interaction with the undergrad student form India @kaurarmanjot445.bsky.social ! 🧪 🧠 She was interested in our math equivalence between spike timing and deep relu nets With a short call and few emails she reproduced the work and open sourced a turorial github.com/kaurarmanjot...

GitHub - kaurarmanjot445-sys/snn-mnist-conversion: Time-to-first-spike SNN conversion for MNIST - exact gradient equivalence implementation

Time-to-first-spike SNN conversion for MNIST - exact gradient equivalence implementation - kaurarmanjot445-sys/snn-mnist-conversion

github.com

🚨 🔬 PhD positions at Google DeepMind in France 🇫🇷 We are advertising Master Level Intern positions at Google DeepMind within our Frontier AI Unit. These could lead to co-advised PhD positions with Google DeepMind and French academic institutions. job-boards.greenhouse.io/deepmind/job...

If you work at the intersection of computational neuroscience and machine learning, consider applying for this postdoc position (January 2027 start date): academicpositions.harvard.edu/postings/15868 An opportunity to work with a great group of people across Harvard, MIT, and UC Berkeley.

PhD Alert! We’re recruiting for a new, fully-funded #Neuroskyence PhD studentship to model multiple sclerosis in vitro, combining immunology with ephys. Led by the awesome @juliae.bsky.social Please repost. www.findaphd.com/phds/project...

Modelling multiple sclerosis in a dish to test therapeutics at University of Glasgow on FindAPhD.com

PhD Project - Modelling multiple sclerosis in a dish to test therapeutics at University of Glasgow, listed on FindAPhD.com

findaphd.com

Summer school on Neuro AI in Cambridge. Registration Deadline: 16 Feb 2026 Speaker line up: G. Bellec A. Billard R. Bogacz R. Ponte Costa W. Gerstner M. Giugliano L. Hunt M. Sahani P. Series P. Tino www.fens.org/news-activit...

FENS-Chen Institute Summer Program on AI-Accelerated Neuroscience Discovery and Translation hosted by the University of Cambridge - Federation of European Neuroscience Societies

Application Submission Deadline: Monday 16th February 2026, midnight Applications will be open from Thursday 8th January to midnight on Monday 16th February. The application form and further details…

fens.org

I highly recommend this postdoc position in Paris. Joao is amazing and it's a unique opportunity to do serious computational/ML analysis with human brain recordings in vivo. 🧪 🧠

Joao Barbosa@jbarbosa.org · 6mo ago

Postdoc position in Paris: come help develop new generation human brain computer interfaces ⚡🧠💻 Interested? Contact me if you have experience with machine learning (e.g. simulation-based inference, RL, generative/diffusion models) or dynamical systems. See below for + details and retweet 🙏

These days I drink Iranian tea everyday so I don't forget. Media coverage of these events have been very poor in my internet bubble so far.