Marcus Ghosh
Computational neuroscientist.
Research Fellow @imperialcollegeldn.bsky.social and @imperial-ix.bsky.social
Funded by @schmidtsciences.bsky.social
- Reposted by Marcus GhoshHappy to share our preprint with @neworderofjamie.bsky.social , @danakarca.bsky.social and @drtnowotny.bsky.social ! We’ve been working on a neuron position learning algorithm by coupling space and time! See manuscript below 👇
- Reposted by Marcus GhoshCome do your PhD with me and @ktsetsos.bsky.social ! It's such an exciting time for cognitive and computational neuroscience at @tcddublin.bsky.social . And in this PhD you get to do both!
- 🎓Fully-funded PhD studentship in Computational Cognitive Neuroscience!!! Join @seanfw.bsky.social and myself at @tcddublin.bsky.social for a PhD at the intersection of cutting-edge cognitive neuroscience (OPM-MEG) and neuro-AI. 🗓 Deadline: 5 Feb 2026 #neurojobs #neuroscience #compneuro
- Reposted by Marcus GhoshFor the first Learning Club @cmc-lab.bsky.social in 2026, @marcusghosh.bsky.social on Jan 15, Thu, 2pm CET, will tell us about his recent paper (👇) [joint work w/ @neural-reckoning.org]. Want to attend, send an empty email to virtual talk-link-request@cmclab.org to get the link!
- How does the structure of a neural circuit shape its function? @neuralreckoning.bsky.social & I explore this in our new preprint: doi.org/10.1101/2025... 🤖🧠🧪 🧵1/9
- Reposted by Marcus GhoshJust published my review of neuroscience in 2025, on The Spike. The 10th of these, would you believe? This year we have foundation models, breakthroughs in using light to understand the brain, a gene therapy, and more Enjoy! medium.com/the-spike/20...
- Reposted by Marcus GhoshAdam Kampff prioritized spreading knowledge over publishing flashy papers in prestigious journals, but colleagues say his mark on neuroscience was undeniable. The researcher and educator passed away on 9 December. By Lauren Schneider www.thetransmitter.org/systems-neur...
- Toy 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'm excited to be teaching with @trendcamina.bsky.social again this summer. Come along!
- Applications Are Open! 🥳 #TReNDCaMinA Summer School 2026 | 29 Jun–15 Jul Dedan Kimathi University of Technology, Kenya For applicants in African countries with backgrounds in neuroscience, medicine, Computer Science, engineering, & related fields. Apply 👉 trendinafrica.org/trend-camina/
- Reposted by Marcus Ghosh🚨new work with the dream team @danakarca.bsky.social @loopyluppi.bsky.social @fatemehhadaeghi.bsky.social @stuartoldham.bsky.social @duncanastle.bsky.social We use game theory and show the brain is not optimally wired for communication and there’s more to its story: www.biorxiv.org/content/10.6...
- Adam was a truly inspiring scientist. He made neuroscience fun and exciting, and made everything seem possible. The Behaviour and Neural Systems course was formative for many of us. The photo below is from my time @champalimaudr.bsky.social in 2016.
- Reposted by Marcus GhoshFinally got the job ad—looking for 2 PhD students to start spring next year: www.gao-unit.com/join-us/ If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply! I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮
- Reposted by Marcus Ghosh📍Excited to share that our paper was selected as a Spotlight at #NeurIPS2025! arxiv.org/pdf/2410.03972 It started from a question I kept running into: When do RNNs trained on the same task converge/diverge in their solutions? 🧵⬇️
- Reposted by Marcus GhoshWe're almost at the end of the year, and that means an end-of-year review! Send me your favorite NeuroAI papers of the year (preprints or published, late last year is fine too).
- Reposted by Marcus Ghosh🔥 Big news! #TReNDCaMiNA 2026 is back! Heading to the cool highlands of Nyeri at @DeKUTkenya 🗓️ Appl open: 15 Dec 2025 – 26 Jan 2026 💻 Learn #compneuro & ML in a refreshing environment. 🔗 Details & application in the link 📣 Share & tag friends! trendinafrica.org/trend-camina/
- Reposted by Marcus GhoshPsst - neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kb of parameter memory by quantising weights and delays? Check out our preprint with @pengfei-sun.bsky.social and @danakarca.bsky.social, or read the TLDR below. 👇🤖🧠🧪 arxiv.org/abs/2510.27434
- Interested in #neuroscience + #AI and looking for a PhD position? I can support your application @imperialcollegeldn.bsky.social ✅ Check your eligibility (below) ✅ Contact me (DM or email) UK nationals: www.imperial.ac.uk/life-science... Otherwise: www.imperial.ac.uk/study/fees-a...
- Are #NeuroAI and #AINeuro equivalent? @rdgao.bsky.social draws a nice distinction between the two. And introduces Gao's second law: “Any state-of-the-art algorithm for analyzing brain signals is, for some time, how the brain works.” Part 1: www.rdgao.com/blog/2024/01...
- Reposted by Marcus GhoshNew preprint! What happens if you add neuromodulation to spiking neural networks and let them go wild with it? TLDR: it can improve performance especially in challenging sensory processing tasks. Explainer thread below. 🤖🧠🧪 www.biorxiv.org/content/10.1...
- Reposted by Marcus GhoshTruly honored (and a little overwhelmed) to see our work featured in The Transmitter's "This Paper Changed My Life." Huge thanks to @neural-reckoning.org for the kind words - and to our amazing community that keeps pushing spiking neural network research forward 🙏
- The misleading manifold? The current debate (decoding vs causal relevance) and a toy example I gave in the thread below got me thinking about a related issue: how decoding may reflect structure more than function. 🧵 1/5
- If we start from this circuit: Input -> neuron_1 -> output ↓ ⋮ ↓ neuron_n And record neurons 1 to n simultaneously (where n could be very large). We can obtain a matrix of neural activity (neurons x time). 🧵2/5
- A common approach to analysing this data would be to apply PCA (or another technique). Yielding a matrix of population activity (d x time). Where d < the number of neurons. A common interpretation of this would be that "the brain uses a low dimensional manifold to link this input-output". 🧵3/5
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View full threadCausal experiments could help to untangle this. But, it seems like this remains underexplored? Keen to hear your thoughts @mattperich.bsky.social, @juangallego.bsky.social and others! www.nature.com/articles/s41... 🧵5/5
- Reposted by Marcus GhoshProud 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 🙌
- Being part of this grassroots 🌱 neuroscience collaboration was a great experience! Keep an eye out for our next collaborative effort
- I'll be presenting this work at #CCN2025 tomorrow (A173). Come and say hi or message me if you'd like to meet up!
- How does the structure of a neural circuit shape its function? @neuralreckoning.bsky.social & I explore this in our new preprint: doi.org/10.1101/2025... 🤖🧠🧪 🧵1/9
