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/...
Who's Who of AI
Dan Goodman
Why they matter
Researcher with public evidence across AI research.
- AI signals
- 2 past 30d
- Sources
- 2 distinct domains
- Discusiones
- 15 past 30d
- Latest signal
- 2d ago
Computational neuroscientist at Imperial College. I like spikes and making science better (Neuromatch, Brian spiking neural network simulator, SNUFA annual workshop on spiking neurons).
🧪 https://neural-reckoning.org/
📷 https://adobe.ly/3On5B29
What they're sharing
science.org
GitHub - neural-reckoning/cambridge-fens-chen-summer-school-2026: Code and slides for 2026 FENS Chen Summer School on Learning with spikes github.com
Neuromodulation enhances the capability and efficiency of spiking neural networks | bioRxiv biorxiv.org
SNUFA 2026 snufa.net
Curiosity shapes brain-like architectures and functions biorxiv.org
View on Bluesky →
https://scim.ag/4i4Kku4 t.co
View on Bluesky →
Neuromodulation enhances the capability and efficiency of spiking neural networks neural-reckoning.org
Neuroscience for machine learners neuro4ml.github.io
Articles & links
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... 🤖🧠🧪
AI Weekly's analysis
→
- 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.
Read full analysis →
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…
#SpikingNeuralNetwork people - this year's SNUFA workshop is live! Talks by: ⭐ Eugene Izhikevich ⭐ @giuliadangelo.bsky.social ⭐ Mihai Petrovici ⭐ Susanne Schreiber Submit your abstracts by Sept 25th. Registration is open! More info at: snufa.net/2026/ cc @fzenke.bsky.social @a…
Dan Goodman reposted
New Preprint! We gave neural networks infant-like curiosity and let them free to explore. They grew brain-like architecture, followed human synaptic development, and even started to display compositional thought. So we think curiosity doesn't just come from a complex mind... i…
Dan Goodman reposted
New paper from our group :) Inspired by retinal ganglion cell networks, we built an on-chip photonic lasing network that can rapidly learn to solve complex visual tasks, from classification to image segmentation, from scarce training data. Out in Science Advances @science.org …
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
Their own posts
Recent commentary
LLM agents "sacrificing" themselves for the good of the "swarm", "covering their tracks" by altering log files which they "knew" was wrong. Completely unserious. How come people are repeating this stuff with no critical reflection at all?
Their network
In Dan Goodman's orbit
Center = Dan Goodman. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.
Are you Dan Goodman? Show it.
Add the Who’s Who of AI badge to your site or bio. It links back to this profile.
Markdown: [](https://aiweekly.co/whos-who/person/neural-reckoning-org)