Tom George (@TomNotGeorge) - Twitter Profili | Zamantika Mersobahis Locabet

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Tom George@TomNotGeorge·13 Kas

What are the brain’s “real” tuning curves? Our new preprint "SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour” argues that existing techniques for latent variable discovery are lacking. We suggest a much simpl-er way to do things. 1/21🧵

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Tom George@TomNotGeorge·3 Nis

Great work and a relevant read for neuroscientists and machine learners alike. Made me fundamentally reconsider how I thought about layer normalisation! Well done @RoyEyono

Roy Eyono@RoyEyono

How do neural circuits in the brain implement normalization? 🧠 In our new paper, we show that just normalizing sensory input isn't enough. Crucially, we must also normalize the error signals! 🧵👇 Paper: arxiv.org/abs/2603.17676

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Tom George@TomNotGeorge·29 Eki

A little overdue but happy to announce that I 1) Got my PhD🎓 2) Started a postdoc and CNS Fellowship with Guillaume Lajoie and Blake Richards (@g_lajoie_ @tyrell_turing) Come find me at @Mila_Quebec in Montreal working on new things NeuroAI!

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Tom George@TomNotGeorge·14 Mar

A great article from SWC on our neural data analysis technique (now accepted into ICLR). More updates to come soon...plus will be @CosyneMeeting presenting this too!

SWC@SWC_Neuro

How does the brain represent imagined locations? Researchers at SWC, @GatsbyUCL and @UCL developed SIMPL, a method to refine neural tuning curves by correcting distortions from imagined locations—sharpening our view of place cell activity. Read more: sainsburywellcome.org/web/blog/findi…

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Tom George@TomNotGeorge·15 Oca

Application deadline has been extend. Two more weeks to apply...don't miss out!!

TReND-CaMinA@trend_camina

Good news!🎉 The application deadline for TReND-CaMinA has been extended to ❗️31st January❗️ Don’t miss this chance to boost your computational neuroscience journey and become part of our community🧠✨ Apply now: trendinafrica.org/trend-camina/ #Neuroscience #Education #ScienceForChange

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Tom George@TomNotGeorge·6 Oca

🌍🧠💻Applications are well and truly open for the third CaMinA. African nationals studying biology, medicine, engineering, maths etc. can, and should, apply for this summer school in Zambia. Neuro and ML are changing the world and now I the time to get into them, please RT!

TReND-CaMinA@trend_camina

🎉Happy New Year! Start 2025 by investing in your future!🚀 Just 2 weeks left to apply for our Computational Neuroscience & Machine Learning course🧠🤖 Let’s make this year one for growth & discovery. RT to spread the word!🙌 🔗trendinafrica.org/trend-camina/ #Growth #Opportunity

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Tom George@TomNotGeorge·20 Ara

@GabyMohamady @OxExpPsy amazing!!!!

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Mohamady El-Gaby@GabyMohamady·20 Ara

Delighted to share that I’ll be joining @OxExpPsy as a group leader/Faculty next spring. My group will investigate how our cells build models of the world and of our internal goals, and how this goes wrong in disorders like schizophrenia.

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Tom George@TomNotGeorge·9 Ara

@CortexClub loving the hype

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Cortex Club@CortexClub·9 Ara

Our next CorTech talk is scheduled for tomorrow, Monday December 9th at 4pm with @TomNotGeorge in the Sherrington Library. Title: Modelling Locomotion; From Continuous Environments to Hippocampal Neurons with the RatInABox package. Post-talk, we will head to the Lamb and Flag!

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Tom George@TomNotGeorge·25 Kas

@vineettiruvadi ((also I'm not saying it shouldn't still be used - in many cases its still quite useful...just that perhaps we could look a bit deeper))

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Vineet Tiruvadi, MD PhD@vineettiruvadi·25 Kas

Have we moved beyond the "tuning curve" concept to eg "transfer function"? If not lexically, conceptually?

Tom George@TomNotGeorge

What are the brain’s “real” tuning curves? Our new preprint "SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour” argues that existing techniques for latent variable discovery are lacking. We suggest a much simpl-er way to do things. 1/21🧵

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Tom George@TomNotGeorge·25 Kas

@vineettiruvadi I think we should! (my experience with a lot of contemporary work in HPC is that tuning curves == spikes fitted to behaviour is still dominant)

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Tom George@TomNotGeorge·25 Kas

CaMinA is back for its 3rd year...this time we're going to beautiful Zambia🇿🇲! I'm proud to see this course grow and bring together the smartest students across Africa with leading neuro institutes like @AllenInstitute and @SWC_Neuro Applications open soon, please share widely!

TReND-CaMinA@trend_camina

🌍Exciting news! The 2025 TReND-CaMinA Course will be held in Lusaka, Zambia 🇿🇲 from July 7th–23rd. Dive into computational neuroscience and machine learning with us! 📅 Applications open: December 15th 🔗More info: trendinafrica.org/trend-camina/ Stay tuned & spread the word! 🧠✨

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Tom George retweetledi

TReND-CaMinA@trend_camina·22 Kas

🌍Exciting news! The 2025 TReND-CaMinA Course will be held in Lusaka, Zambia 🇿🇲 from July 7th–23rd. Dive into computational neuroscience and machine learning with us! 📅 Applications open: December 15th 🔗More info: trendinafrica.org/trend-camina/ Stay tuned & spread the word! 🧠✨

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Tom George@TomNotGeorge·15 Kas

@rory_bedford ^ this👌🏼... 100%

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Tom George@TomNotGeorge·13 Kas

What are the brain’s “real” tuning curves? Our new preprint "SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour” argues that existing techniques for latent variable discovery are lacking. We suggest a much simpl-er way to do things. 1/21🧵

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Tom George@TomNotGeorge·15 Kas

@EliSennesh Good question! In the space of a tweet that might be too much to answer but can I direct you to section 2 of the paper where I think you'll find the answer tomge.org/papers/simpl/s…

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Eli Sennesh@EliSennesh·14 Kas

@TomNotGeorge What's your prior and model structure by which you connect spikes, behavior, and the latent variable you impute?

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Tom George@TomNotGeorge·15 Kas

@zilong_ji nice I hadn't seen this one! Muller and Kubie 1989 did the same thing with place fields. Was an inspiration for SIMPL (which is like an automatic and much less constrained version of this idea)

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Zilong Ji@zilong_ji·15 Kas

@TomNotGeorge This is cool and reminds me of the Ouchi & Fujisawa 2024 paper, where they plot the spikes with future position instead of the current position, they got a nicer and cleaner tuning field of a grid cell.

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Tom George@TomNotGeorge·14 Kas

@BenDichter @NeurodataWB @DANDIarchive Hi Ben, this is exactly the plan so thanks for bringing the @DANDIarchive datasets to my attention. I'd love your help here! We should chat...

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Ben Dichter@BenDichter·14 Kas

@TomNotGeorge I'd love to see this analysis applied to reanalyze the mountain of diverse, open, state-of-the-art hippocampal datasets in @NeurodataWB on the @DANDIarchive from labs of Frank, Buzsaki, Moser, Giocomo, and more. I'd be happy to help someone get started 🙂

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Tom George@TomNotGeorge·14 Kas

@sai_prasanna bsky.app/profile/tomnot… ^^ I just joined. Could you add me to some lists!?

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@saiprasanna.in 🦋@sai_prasanna·14 Kas

@TomNotGeorge Btw b sky 🦋 is getting popular among AI and neuroscience people, in case you are looking to shift! There are lists to which you can be added and in which you can find other neuroscience folks

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Tom George@TomNotGeorge·14 Kas

@sai_prasanna thanks! Yes SIMPL will be most applicable to relatively "simple"/low-D/continuous latent spaces (of which there are a few obvious contenders in the brain)

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Tom George@TomNotGeorge·14 Kas

@dlevenstein I hate twitter these days. Is it time to switch?

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Dan Levenstein@dlevenstein·14 Kas

@TomNotGeorge Yup. All makes sense. One last Q: what’s a guy gotta do to get this thread over on bsky? 😜😜😇

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Tom George@TomNotGeorge·14 Kas

@dlevenstein • Ultimately its a trade off…we assume Gaussian (therefore unimodal) posteriors which therefore allows Kalman filtering which is a SUPER fast E-step. If you want multimodal posteriors (ie encode multiple positions) then expect big slow-downs :(((

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Dan Levenstein@dlevenstein·14 Kas

@TomNotGeorge I do wonder about the foundational assumption here: that there's a single represented variable in the network and that variable corresponds to a spatial position. I see why you would make that assumption but it's a strong one.

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