🚨 I’m excited to say that my CIHR Project Grant was funded! My NHP lab is now full-speed-ahead, and I’m hiring experimentalists (postdoc, PhD student, and/or a tech/manager). We’ll do multi-region ephys during reaching/grasping in macaques, with behavioral and spinal perturbations.

Trying to train RNNs in a biol plausible (local) way? Well, try our new method using predictive alignment. Paper just out in Nat. Com. Toshitake Asabuki deserves all the credit! www.nature.com/articles/s41...

Fabulous day at UK Neural Computation 2025! Thanks to today’s invited speakers Jonathan Cornford, Jenny Bizley, Petr Znamenskiy and Flavia Mancini Congratulations to ECR speakers Ian Hawes and Andrea Colins Rodriguez, selected from 80+ outstanding abstract submissions Roll on Day 3! #UKNC25

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 🧪

Really like this work!

Closing soon! Register by July 1st for UK Neural Computation 2025 neuralcomputation.uk ECR day: 9 July - careers, grants, starting a lab Main meeting: 10-11 July - 13 speakers, 70+ posters, sandpit Hosted by @imperialcollegeldn.bsky.social Sponsors @aria-research.bsky.social @crick.ac.uk

Excited for the UK Neural Computation Conference 2025 @ Imperial, 9th - 11th July! 🚀 World leading scientists working in brain computation - from experimental to modelling, mathematics & ML (+ all combinations thereof). Registration closes 1st July! Plz share: neuralcomputation.uk

1/6 Why does the brain maintain such precise excitatory-inhibitory balance? Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning. www.biorxiv.org/content/10.1... led by @jrbch.bsky.social

New #NeuroAI #compneurosky preprint! To better understand how target-directed learning works in the brain, we sought to engineer an artificial neural network capable of solving complex image classification tasks that comprises only experimentally-supported biological building blocks. (1/15)

Discussions around AI ethics and sustainability tend to happen in different circles, with different people and from different perspectives... but what if we had these important conversations together? 🤝

Really enjoyed TAing for this tutorial, had great discussions with several attendees. Do check out `torch_brain` and the other packages here: github.com/neuro-galaxy

Are you training self-supervised/foundation models, and worried if they are learning good representations? We got you covered! 💪 🦖Introducing Reptrix, a #Python library to evaluate representation quality metrics for neural nets: github.com/BARL-SSL/rep... 🧵👇[1/6] #DeepLearning

Come by Poster 068 to learn about why comp neuro studies should use exponentiated gradient descent!

Am I missing something? If language is an encoding of the world, just like pixel values are, and sensory input in general is, why can’t an llm in principle do all of the above just in an RL-like setting? And then we’re just debating how much of the cake the RL cherry is?

The Clopath Lab has a fully funded PhD position open for Oct in Computational Neuroscience at Imperial College London. If you are interested, just send us an informal e-mail!

📢 We have a new #NeuroAI postdoctoral position in the lab! If you have a strong background in #NeuroAI or computational neuroscience, I’d love to hear from you. (Repost please) 🧠📈🤖

Sad to see in my opinion. AI Safety & Security was also possible.

I'm giving an online talk tomorrow as part of UCL's NeuroAI series on neural architectures and our current line of research trying to figure out what they might be good for (including some philosophy: what might an answer to this question even look like?). www.eventbrite.co.uk/e/ucl-neuroa...

Is there an agreed "this email was schedule sent" time? I'm thinking 8.49 am

Spiros Chavlis and I are very excited to share our latest #dendritic ANN research published in Nature Comms. @natureportfolio.bsky.social. We show that adopting the structure and sparse sampling features of biological #dendrites makes ANNs accurate, highly efficient and robust to overfitting.

Talk by Blake Richards at the Montreal AI and Neuroscience (MAIN) Conference on brain-like learning with exponentiated gradients. www.youtube.com/watch?v=Awji... #neuroscience #neuroAI #AI #compneuro @tyrellturing.bsky.social

Long time coming. A very cool project that showcases the advantages of single neuron adaptation in RNNs. #PLOSCompBio: Neural networks with optimized single-neuron adaptation uncover biologically plausible regulari ... dx.plos.org/10.1371/jour... Props to V. Geadah and co-authors!

🚨Our paper on how the cerebellum learns to drive cortical dynamics for rapid task learning and switching, which we propose can then be consolidated in the cortex @naturecomms.bsky.social nature.com/articles/s41... 🧠 #compneuro

Today we’re launching the text challenge of the Frugal AI Challenge for the AI Action Summit: detecting climate misinformation in the media (Press, TV, Radio), sponsored by the French non-profit QuotaClimat. The goal of the task is to detect climate-based misinformation and to categorize its type 📃

If you missed it at the #NeurIPS2024 posters! Work led by @leonlufkin.bsky.social on analytical dynamics of localization in simple neural nets, as seen in real+artificial nets and distilled by @aingrosso.bsky.social @sebgoldt.bsky.social. Leon is a fantastic collaborator + looking for PhD positions!

The problem with current SSL? It's hungry. Very hungry. 🤖 Training time: Weeks Dataset size: Millions of images Compute costs: 💸💸💸 Our #NeurIPS2024 poster makes SSL pipelines 2x faster and achieves similar accuracy at 50% pretraining cost! 💪🏼✨ 🧵 1/8

Delighted to be in Leeds joining the School of Computing! Fantastic first impressions — like a "less offensive London" (youtu.be/watch?v=_6_VVLgrgFI). Stay tuned for a PhD position starting next October. Meanwhile, drop me a message with your CV and research interests—I'd love to hear from you!

Looking forward to going through this!

@soniajoseph.bsky.social has been doing fascinating work on mechanistic interpretability in multi-modal models. It's like neuroscience for AI! If this kind of stuff interests you I strongly recommend reading this blog post. #MLSky #AI #NeuroAI 🧪

A little late on the 🦋🚂, but happy to share a new(ish) preprint - the culmination of three years of postdoc with @tyrellturing.bsky.social and @apeyrache.bsky.social, and my first real foray into #NeuroAI as a tool to study the sleeping brain 🧠🟦: biorxiv.org/content/10.1... (1/🧵) c’est parti!

Why does #compneuro need new learning methods? ANN models are usually trained with Gradient Descent (GD), which violates biological realities like Dale’s law and log-normal weights. Here we describe a superior learning algorithm for comp neuro: Exponentiated Gradients (EG)! 1/12 #neuroscience 🧪

Brain-like learning with exponentiated gradients www.biorxiv.org/content/10.1...