Everyone is praising this article, but I find it a bit disingenuous. He criticises Taylorism ("scientific management") but that's exactly what researchers are subject to, and the glam publication economy is at the heart of it. www.science.org/doi/10.1126/...
Dan Goodman
Researcher with public evidence across AI research.
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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... 🤖🧠🧪
- The GitHub repo hosts a Colab-ready Jupyter notebook and slides for the 2026 FENS Chen Summer School track on 'Learning with spikes'.
- Materials are MIT-licensed and shipped as both PowerPoint and PDF alongside the notebook, published under the neural-reckoning organisation.
- The instructor also directs readers to their free online course, 'Neuroscience for machine learners', for deeper follow-up study.
New preprint (well, very updated). 🤖🧠🧪 We find that an abstract model of neuromodulation lets spiking neural networks perform much better, particularly in challenging noisy environments, using less energy. Relevant to #neuroscience and #neuromorphic computing. 🧵👇 www.biorxiv.o…
There's a lot more in the paper, so please do give it a read if any of these sound interesting. I think the headline results are that neuromodulation makes performance better with less energy. We also have a tutorial and code to integrate this into your models. neural-reckonin…
Longer, more detailed version in my course on "Neuroscience for machine learners" that I give at my university. All materials freely available online at: neuro4ml.github.io
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