Dan Goodman

I'm a computational neuroscientist and science reformer. I'm based at Imperial College London. I like to build things and organisations, including the Brian spiking neural network simulator, Neuromatch and the SNUFA spiking neural network community.

Website: https://neural-reckoning.org
Youtube: https://youtube.com/@neuralreckoning
Brian: https://briansimulator.org
Neuromatch: https://neuromatch.io
SNUFA: https://snufa.net
Photography: https://adobe.ly/3On5B29

Last Notes

2026-10-19 12:11:20 UTC

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And another one landscape. #photography
https://media.neuromatch.social/media_attachments/files/117/467/502/610/779/634/original/635dd4f051c6820a.jpg

2026-10-19 12:08:47 UTC

Rain at night and sunny autumn morning means taking a little bit of time off to head into the woods with my camera. #photography
https://media.neuromatch.social/media_attachments/files/117/467/494/223/585/002/original/d09b4e81a1877421.jpg

2026-09-21 18:55:13 UTC

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apologies didn't mean to suggest I was criticizing you, more like I was joining in the scepticism!

2026-09-21 11:37:17 UTC

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I think the two key words to notice in the title are "imagine" and "reliable". Indeed, if you look in the paper the word reliable only appears 3 times in the text, and only once substantively. What they mean by it is that the agent regenerates the figures of the paper (after iterating with the goal of doing so). As far as I can tell they didn't check if it used the correct methods to generate those figures except for a handful of case studies. It managed to do this figure generation in 74% of their tests, and then answered a standard set of reference questions (so presumably quite generic) with 90% accuracy. I will leave you to decide if you think this meets your own personal criteria for reliability.

2026-09-13 12:45:57 UTC

If you really think that AI running out of control is a dangerous possibility, then make tech company CEOs legally liable for illegal actions taken by their company's agents.

2026-09-07 22:42:18 UTC

Dappled sunlight in the woods is challenging to photograph. Most of my shots didn't come out that well, but I kinda like this one. #photography
https://media.neuromatch.social/media_attachments/files/117/232/167/306/982/842/original/a5bb0540ec56f249.jpg

2026-07-17 19:31:50 UTC

The $700k/yr-paid editor of academic labour exploitation magazine Science writing an article complaining about how AI is exploiting academic labour and making publishers lives more difficult, and then getting caught using ChatGPT to write the article, feels like the perfect end to this academic year.

2026-07-17 18:22:25 UTC

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Lol, turns out he wrote the article with ChatGPT.
https://bsky.app/profile/nanoporous.net/post/3mqu2brhk5s2q
What a perfect conclusion to this.

2026-07-17 10:48:44 UTC

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.
Science magazine's business model, and the source of its editor's $700k salary, rely on this exploitation of academic labour. There wouldn't be an AI slop paper problem if it weren't for journals and ranking researchers by publication metrics, because there'd be nothing to gain from generating slop.
https://www.science.org/doi/10.1126/science.aek5570

2026-07-16 17:33:48 UTC

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Explainer thread on bsky - sorry I don't have the energy to copy it over here!
https://bsky.app/profile/neural-reckoning.org/post/3mqrr5fsmh22a

2026-07-16 17:33:24 UTC

New preprint on #neuromodulation in #SpikingNeuralNetworks of interest to people in #neuroscience and #neuromorphic computing.
Headline result: neuromodulation gives a huge boost to performance, particularly in noisy environments, and reduces energy consumption by reducing neuron and spike counts.
We also have tutorials and codes to integrate easily into your models.
https://www.biorxiv.org/content/10.1101/2025.07.25.666748v2

2026-05-16 11:05:57 UTC

You might have read that arxiv is banning people for a year if they post LLM-generated papers and cheered it on. But most of the discussion about this doesn't correctly explain the policy and it is not a good thing.
First up, the policy is that "incontrovertible evidence" of using LLMs and not checking the output is what's at stake. An example given is a hallucinated reference.
Second, the ban will apply to all coauthors of the paper, not just the person submitting.
Third, it's not just a 1 year ban, it's followed by a permanent ban on submitting papers that have not been peer reviewed in a "reputable" journal or conference. Given that arxiv is a preprint server and not a repository for published papers, that makes the ban effectively permanent.
So imagine: you are a masters student working on a project with a few other people, and your role is relatively minor. The project leads to a paper and you get your name on it, hurray. The lead author handles the submission and doesn't ask for your permission to send the final version because you're only a masters student. Your supervisor explains that this is how things are done and nothing to worry about. What you didn't know is that someone else on this paper at the last minute made some edits to the grammar of the paper using an LLM because none of you are native English speakers, and the LLM inserted a hallucinated reference. Arxiv picks up on this and you are now permanently banned from using arxiv as a preprint server. Further, every time you try to collaborate with someone else to write a paper and they want to put it in arxiv you have to explain that you can't, and that this means that by collaborating with you, they also can't put it on arxiv. Since arxiv is one of the main channels for distributing papers in your field, soon enough people stop asking you to work with them and your career is effectively over. Because someone else didn't notice that an overenthusiastic grammar checker inserted a fake reference and you weren't in a position of enough power at the time to insist on checking the final version.
Ok that's a long story, but I don't think this is a fanciful situation. Stuff like this happens all the time. It's easy to say - and I've seen a lot of people saying times like this - that everyone should take responsibility for reading the paper, or that it's the responsibility of supervisors to make sure this doesn't happen. But in the world we actually inhabit, power imbalances exist: the masters student can't make the supervisor wait until they read the paper because they're worried about their project grade. Bad supervisors are out there, and it's not fair to punish their students.
This policy will lead to terrible consequences for a lot of innocent people who should not reasonably be held responsible because they weren't in a position of power. I suspect it won't lead to very bad consequences for big name researchers who will just get on the phone to someone at arxiv or one of arxiv's funders and get the decision reversed in their case.
I understand the anger towards LLMs and tech companies, and I share it. I understand the anger towards the people cynically generating whole papers using them, polluting the scientific literature and making all our lives more difficult, and I share it too. But that doesn't mean we should jump to implement extreme and poorly thought out policies that will hurt a lot of people who haven't done anything wrong.
Finally, as an advocate of open science and publishing reform, this is really disappointing from arxiv. By saying that peer reviewed papers in "reputable" journals are ok, they've defined themselves (arxiv) as second class citizens in the world of publishing. This shows such limited ambition, and actively hurts the cause of making the world better by getting rid of the parasitic and harmful publishing industry.
#academicchatter #arxiv

2026-04-26 21:38:10 UTC

#SilentSunday #photography
https://media.neuromatch.social/media_attachments/files/116/473/164/882/591/965/original/a3a8656f5ed960b5.jpg