Jonathan Cornford
Lecturer (Assistant Professor) in Computational Neuroscience at Leeds University School of Computer Science.
Combining insights from biological and artificial intelligence to develop resource-efficient AI.
- Reposted by Jonathan Cornford🚨 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.
- Reposted by Jonathan CornfordTrying 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...
- Reposted by Jonathan CornfordFabulous 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
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- Really like this work!
- Reposted by Jonathan CornfordClosing 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
- Reposted by Jonathan CornfordExcited 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
- Reposted by Jonathan Cornford1/6 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
- Reposted by Jonathan CornfordNew #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)
- Cellular and subcellular specialization enables biology-constrained deep learning www.biorxiv.org/content/10.1...
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- Reposted by Jonathan CornfordReally 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
- #COSYNE2025 tutorial by Eva Dyer. Foundations of Transformers in Neuroscience youtu.be/CqS_sIrMZ2A... Materials: cosyne-tutorial-2025...
- Reposted by Jonathan CornfordAre 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?
- Reposted by Jonathan CornfordThe 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!
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- Sad to see in my opinion. AI Safety & Security was also possible.
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- Is there an agreed "this email was schedule sent" time? I'm thinking 8.49 am
- Reposted by Jonathan CornfordSpiros 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 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
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- Reposted by Jonathan CornfordLong 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!
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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! - Reposted by Jonathan CornfordThe 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!
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