Rory Byrne
Neuroscience PhD student, Cambridge UK. Confused but excited.
"Everything around me was somebody's lifework"
👋 https://rory.bio
🔧 compmotifs.com
- Reposted by Rory ByrneToy models, just in time for Christmas! Excited to share my first article for @thetransmitter.bsky.social #neuroskyence
- Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs, writes @marcusghosh.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...
- I built a link-sharing discussion website for (meta)science. talk.amacrin.com Scientific discourse here and elsewhere is a bit fragmented, so I made a space for centralised, casual discussion. You can log in with Bsky. Still in testing mode. I'll move it to a new domain once I find a good name.
- Answer: because seniors know the language of software architecture. This enriches their LLM prompting significantly. If you want to successfully use AI for coding, learn some software architecture!
- Proud to have been a part of this, a great example of distributed async science! Huge thanks to @marcusghosh.bsky.social, @neuralreckoning.bsky.social, @tfiers.bsky.social, @krhab.bsky.social and others for putting in the bulk effort 🙌
- A great piece from @ersatzben.bsky.social on the importance of bold, aesthetic, mission-oriented directions in publicly funded research. betterscienceproject.substack.com/p/the-counte...
- Reposted by Rory ByrneHow can we best use AI in science? Myself and 9 other research fellows from @imperial-ix.bsky.social use AI methods in domains from plant biology (🌱) to neuroscience (🧠) and particle physics (🎇). Together we suggest 10 simple rules @plos.org 🧵 doi.org/10.1371/jour...
- Reposted by Rory ByrneNew preprint for #neuromorphic and #SpikingNeuralNetwork folk (with @pengfei-sun.bsky.social). arxiv.org/abs/2507.16043 Surrogate gradients are popular for training SNNs, but some worry whether they really learn complex temporal spike codes. TLDR: we tested this, and yes they can! 🧵👇 🤖🧠🧪
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- Come build tools for science with us in London! Food, cool people, great speakers (on both the science and toolmaking sides). #neuroskyence #openscience #desci #openchem #bioinformatics #opensource #foss
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- If you’re in SF, come build tools-for-science with us later this month! 🛠️ #opensource #neuroskyence #openscience #machinelearning #compchem #chemsky
- We (www.compmotifs.com) are coming to SF! Together with Pebblebed, we’re hosting a 2-day hackathon on 26-27 March for builders and scientists across disciplines to build new methods and tools for the computational and natural sciences. Join us: lu.ma/t5yik06g. Reposts will be much appreciated!
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- 🔧 Logis - turn your git history into a searchable scientific log. The `@commit` decorator auto-commits your code when your experiment runs - with metadata in the message. Then you can find previous results by querying for commits with (e.g.) metrics.accuracy > 0.9. github.com/flywhl/logis
- 🔧 Logis - turn your git history into a searchable scientific log. The `@commit` decorator auto-commits your code when your experiment runs - with metadata in the message. Then you can find previous results by querying for commits with (e.g.) metrics.accuracy > 0.9. github.com/flywhl/logis
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- Reposted by Rory Byrne[Not loaded yet]
- 🔧 Cyantic v0.3.0 - a little library I wrote that builds complex Python objects (like Tensors) from simple blueprints using @pydantic.dev. (The name comes from cyanotype photography, i.e. the "blueprint") #opensource #python #openscience github.com/flywhl/cyantic
- 🔧 Re-sharing an old tool: a recursive function to generate hierarchical, modular, Dalean connectivity matrices in PyTorch. Modules are locally dense, with increasingly sparse connections to more distal modules. #neuroai #neuroskyence gist.github.com/rorybyrne/dd...
- I see the talks from Montreal AI and Neuroscience (MAIN) 2024 are now online: www.youtube.com/@MAINConfere... #neuroai #neuroskyence
- Forget LLMs, we need more good-old-fashioned code generation. Especially in science. I should be able to define models, analysis, wet-lab protocols, and figures in a declarative language (SQL is declarative), and use opinionated tools to generate the required code. github.com/sqlc-dev/sqlc
- Pleasantly surprised to see surrogate gradients used here to optimise over collision detection events (@ 18:28). Relevant for #NeuroAI since step functions can model lots of things in neurons beyond just spiking. www.youtube.com/watch?v=L_Al...
- Nice to see journals thinking about software tools, but I wonder if they can offer more to toolmakers than “here is a place to re-write your README in more opaque language”?
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- 86% of OSS contributions from organisations are in the form of employee labour.
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- And if my grandmother had wheels she’d be a bicycle.
