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Noé Hamou

@noehamou.bsky.social
40 followers 46 following 1 posts

PhD student at Sainsbury Wellcome Center & Gatsby Unit (UCL)

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Reposted by Noé Hamou
Jieyu Zheng @jieyusz.bsky.social · 10/09/2026
An acortical mouse — born without hippocampus and most of its neocortex — learns the Manhattan Maze: a 30× improvement in 5 hours, 18 rewards! Now a question for everyone: How can an acortical brain do this? Leave a comment! Preprint w/ @mameister4.bsky.social: www.biorxiv.org/content/10.6...
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Reposted by Noé Hamou
Arthur Prat @arthurpr4t.bsky.social · 09/09/2026
We derived six laws of psychophysics from a single efficient-coding equation. The laws include Weber's law; scaling laws in visual working memory (which had been noted before, but with unclear theoretical justification); Wei & Stocker's law of human perception; arthurprat.com/pdfs/Prat-Ca...
arthurprat.com
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Venki Murthy @neurovenki.bsky.social · 21/08/2026
This work is now published in @cp-cellreports.bsky.social! Thanks to co-authors H McCalmon, G Cai, C Tsibouris, @noehamou.bsky.social, J Hoskins, F Pashakhanloo, @sueyeonchung.bsky.social and V Kapoor.
cell.com
Sparse input representations explain odor discrimination in complex, concentration-varying mixtures
Detecting a target odor against complex backgrounds requires separating signal from interference. McCalmon et al. show that discrimination performance depends on target odor concentration but not back...
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Noé Hamou @noehamou.bsky.social · 16/08/2026
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Andrew MacAskill @macaskillaf.bsky.social · 26/04/2026
Huge congrats to @snierwetberg.bsky.social , David (not on BSky), and @maxwellxchen.bsky.social for their paper! They developed a mouse task in which relational structure can be isolated from cue identity and reward statistics. www.biorxiv.org/content/10.6... 🧠📈🧪 #neuroskyence @uclnpp.bsky.social
biorxiv.org
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Aaron Milstein @neurosutras.bsky.social · 27/03/2026
Our latest publication grapples with how the brain could implement gradient descent by sending learning targets top-down, gating plasticity with dendritic inhibition, and updating synaptic weights with biologically observed learning rules like BTSP. www.cell.com/cell-reports...
cell.com
Cellular and subcellular specialization enables biology-constrained deep learning
Galloni et al. introduce “dendritic target propagation”: a Dale’s law-compliant learning algorithm for cortical microcircuits with soma- and dendrite-targeting inhibition and realistic connectivity co...
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Reposted by Noé Hamou
Laura Grima @lauragrima.bsky.social · 24/02/2026
Excited to be co-organising a #cosyne2026 workshop with Alison Comrie on 'algorithms for learning from scratch'! With a great line-up of speakers, we'll be tackling the question of what processes enable naive biological & artificial agents to adapt to new situations. Info here: tinyurl.com/4u8enf7k
sites.google.com
learningfromscratch
march 16th, workshop day 1 @ cosyne 2026
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Andrew Saxe @saxelab.bsky.social · 16/02/2026
Excited to launch Principia, a nonprofit research organisation at the intersection of deep learning theory and AI safety. Our goal is to develop theory for modern machine learning systems that can help us understand complex network behaviors, including those critical for AI safety and alignment. 1
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Venki Murthy @neurovenki.bsky.social · 29/01/2026
New preprint from our group (collaboration with @sueyeonchung.bsky.social) showing that discriminating odor components within a complex mixture is constrained by neural sensitivity rather than background interference - likely due to sparse representations at the front end.
biorxiv.org
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CNRS Biologie @cnrsbiologie.bsky.social · 10/02/2026
#ResultatScientifique🔎| L’hippocampe combine signaux externes et états émotionnels pour adapter le comportement face à l’environnement. ✍️ @mnpompili.bsky.social 📕 buff.ly/DulC2E9 ▶️ buff.ly/WwfQgfo
buff.ly
Relier le comportement aux signaux externes : une fonction intégratrice de l’hippocampe
Face au danger, le cerveau doit reconnaître les signaux de menace et élaborer une réponse adaptée.
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Reposted by Noé Hamou
Marco Pompili @mnpompili.bsky.social · 09/02/2026
Everyone knows dorsal and ventral hippocampus do different things. But how do neurons in these regions differ in function — and how are their contributions integrated? We tackled this with @noehamou.bsky.social and Sid Wiener in a paper just out in @pnas.org 👇🧵 1/12 www.pnas.org/doi/abs/10.1...
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Gatsby Computational Neuroscience Unit @gatsbyucl.bsky.social · 15/01/2026
📢 Applications open on 19 Jan for the 7-week #Mathematics #SummerSchool in London. You will develop the maths skills and intuition necessary to enter the #TheoreticalNeuroscience / #MachineLearning field. Find out more & register for the information webinar 👉 www.ucl.ac.uk/life-science...
Applications for 2026 entry to the Gatsby Bridging Programme (7-week maths summer school) will open on 19 Jan and close on 16 Feb. Designed for students who wish to pursue a postgrad research degree in theoretical neuroscience or foundational machine learning but whose degree programme lacks a strong maths focus. Applications from students in underrepresented groups in STEM strongly encouraged. A small number of bursaries available.
Register for the information webinar on 23 Jan.
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Marco Pompili @mnpompili.bsky.social · 06/12/2025
Cell assemblies are drawing increasing attention in neuroscience, but one could argue that they are just an epiphenomenon. Is the activity of cell assemblies relevant for the brain? The short answer is yes. The long answer is in our paper, now online at PLOS Biology. 🧵👇 1/10 doi.org/10.1371/jour...
doi.org
Adaptive communication between cell assemblies and “reader” neurons shapes flexible brain dynamics
Cell assemblies have been proposed as key units of brain activity, underlying diverse functions, but their basic features are not well understood. This study shows that interactions between cell assem...
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 27/09/2025
Predictive learning enables compositional representations www.biorxiv.org/content/10.1101/202…
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Sam Gershman @gershbrain.bsky.social · 28/01/2025
@noehamou.bsky.social and @gautamreddy.bsky.social (with a little bit of help from me) have written a really interesting theoretical paper on associative learning (in particular Pavlovian conditioning): www.biorxiv.org/content/10.1...
biorxiv.org
Reconciling time and prediction error theories of associative learning
Learning involves forming associations between sensory events that have a consistent temporal relationship. Influential theories based on prediction errors explain numerous behavioral and neurobiologi...
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