Highly recommend working with Dan!

Dan Goodman@neural-reckoning.org · 4mo ago

If you're interested in doing a 2 year Schmidt "AI in science" postdoc fellowship in neuroscience/AI stuff with me starting in July or Oct 2027 take a look at this and get in touch soon. We've had a lot of luck recently getting these fellowships. www.imperial.ac.uk/electrical-e...

🚨 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 🧪

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

Really like this work!

Rui Ponte Costa@somnirons.bsky.social · last yr.

Pleased to say that our story of how a theory of self-supervised learning in cortical layers accounts for several experimental observations is now out 🎉 www.nature.com/articles/s41...

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)

Aaron Milstein@neurosutras.bsky.social · last yr.

Cellular and subcellular specialization enables biology-constrained deep learning www.biorxiv.org/content/10.1...

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

Neuro Galaxy

Foundation models for neural data. Neuro Galaxy has 5 repositories available. Follow their code on GitHub.

github.com

Memming Park@memming.bsky.social · last yr.

#COSYNE2025 tutorial by Eva Dyer. Foundations of Transformers in Neuroscience youtu.be/CqS_sIrMZ2A... Materials: cosyne-tutorial-2025...

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?

Benjamin Riley@benjaminjriley.bsky.social · last yr.

"AI models are passively absorbing patterns that have been produced by others. The humans who made those patterns, *they* interacted with the world, they had an understanding of the structure. But a passive system that just sort of absorbs this is not the same as understanding." - P. Cisek

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.

Imogen Parker@imogen-parker.bsky.social · last yr.

I know everyone was hoping for a quiet Friday, but... UK Gov has announced a step back from AI safety, by rebranding AISI as the AI 'Security' Institute. Really thoughtful commentary from colleague @mbirtwistle.bsky.social here & short 🧵below on key changes www.ukauthority.com/articles/ai-...

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...

UCL NeuroAI Talk Series

A series of NeuroAI themed talks organised by the UCL NeuroAI community. Talks will continue on a monthly basis.

eventbrite.co.uk

UCL NeuroAI@ucl-neuroai.bsky.social · last yr.

For our next UCL #NeuroAI online seminar, we are happy to be hosting Dr Dan Goodman @neuralreckoning.bsky.social (@imperialcollegeldn.bsky.social). 🗓️Wed 12 Feb 2025 ⏰2-3pm GMT Talk title: Neural architectures: what are they good for anyway?

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.

@imbb-forth.bsky.social · 2y ago

🔬💻IMBB researchers @dendritesgr.bsky.social lab introduce artificial neural networks with characteristics of biological #dendrites. ▶️https://tinyurl.com/55tyur6m @forth-ite.bsky.social @yiotapoirazi.bsky.social

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

Blake Richards - Brain-like learning with exponentiated gradients

YouTube video by MAIN Conference

youtube.com

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!

Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization

Author summary Evolution has shaped neural circuits in the brain to support complex tasks and behavior. In doing so, single neurons have developed intriguing coding properties such as heterogeneous an...

dx.plos.org

🚨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!

Gordon Love@gordonlove.bsky.social · 2y ago

Pleased to welcome @repromancer.bsky.social - a computational neuroscientist - to the @universityofleeds.bsky.social today - working on the boundary of neuroscience and AI. Welcome Jonathan!

Looking forward to going through this!

Jascha Achterberg@achterbrain.bsky.social · 2y ago

Last year we put out investigations of the effect of spatially embedding RNNs [link in thread] -- many asked for a spiking implementation & so here is a little follow-up piece with detailed analysis of modularity in networks, including a spiking version: arxiv.org/abs/2409.17693 #NeuroAI #compneuro

@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 🧪

Sonia@soniajoseph.bsky.social · 2y ago

I wrote a post on multimodal interpretability techniques, including sparse feature circuit discovery, exploiting the shared text-image space of CLIP, and training adapters. soniajoseph.ai/multimodal-i... 💜