SwathiAnil
@Swathi_Anil_
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PhD candidate @VlachosLab & @BernsteinNeuro Freiburg, Visiting PhD @NeuralReckoning Weakness:Kittens.Austen.Parton
London, England
Joined October 2020
How does the brain work? Scientists are closer to the answer with the largest wiring diagram and functional map of a mammalian brain to date. 🧵
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🚨 Preprint Alert! 🚨 Looking to induce spike timing-dependent plasticity (STDP) in the brain? Repetitive TMS could do the trick—plus, this may even trigger endogenous BDNF release! https://t.co/tnX0jM5Qqj
#Neuroscience #BrainPlasticity #STDP
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PhD position openings in my group! Check out topics and how to apply below. At the moment, I'm particularly interested in the topic of modularity in both biological and artificial networks, and how it can be used to scale up intelligent processes. https://t.co/YsEfVWUplP
neural-reckoning.org
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IV 55 - @Swathi_Anil_ has been following up on our earlier multimodal paper (👇), and looks at how different recurrent and feedforward architectures can cope with multimodal signals with complex temporal structure. https://t.co/ync7BLGCXd
How should animals combine information across their senses? Prior work suggests linear fusion (sight+sound). However, we show that this would be sub-optimal for many multisensory tasks, and instead, propose a nonlinear function f(sight, sound). https://t.co/98uidkutAz
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IV 47 - @MarcusGhosh has been evolving neural networks on multisensory predator/prey and foraging tasks and finding how the need for different architectural features like recurrency emerge as task complexity increases.
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IV 38 - PhD student Yang Chu will show you not just one but several learning algorithms that could explain how blind people can localise sounds without visual feedback using innate circuits and a tiny amount of external non-visual feedback.
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III 52 - PhD student Greta Horvathova will be talking about her work designing an information bottleneck inspired network that retains object label relevant information while discarding irrelevant information by using "adversarial autoencoders".
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II 66 - PhD student @GabrielBna1 will be presenting his work on the relationship between structural modularity and functional specialisation in neural networks, which will be published soon and you can read the preprint and thread below. https://t.co/joaBGYd77a
#preprint! Defining neural modularity is hard: much history. We used toy ANNs to show structural and functional definitions not tightly related, resource constraints important, and we need to start thinking about temporal dynamics. 🧵 with @GabrielBna1
https://t.co/h70TXa7jFT
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Looking forward to having a great time at #BernsteinConference 2024! 🧠 Come say hi to everyone at the @neuralreckoning lab ✨ Drop by my poster (IV 55) for our latest work on temporal multisensory processing! @MarcusGhosh 💫 @BernsteinNeuro
Come and meet the Neural Reckoners at @BernsteinNeuro with posters from: ⭐️@GabrielBna1: specialization/modularity ⭐️@MarcusGhosh @Swathi_Anil_: multisensory processing ⭐️Yang Chu: bootstrapping auditory learning with an innate circuit ⭐️Greta Horvathova: adversarial autoencoders
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Check out this exciting work by @neuralreckoning group on multisensory processing in the brain! 🧠 ✨
Our paper on nonlinear multimodal processing now out in @PLOSCompBiol (with @MarcusGhosh, @GabrielBna1 and @BormuthVolker). TLDR: adding a simple nonlinearity to the classic model helps a lot, but only on tasks with more realistic temporal structure. https://t.co/FabrSTSE7O
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Teaching on the @trend_camina (@TReNDinAfrica) summer school (Rwanda) was an incredible experience. Both the students and staff (below) were super inspiring! @saraysoldado, @jsoldadomagrane, @TomNotGeorge, @artemiskoum, @burakgur_, @tmchartrand, @fredpckuo, @devonjarvi5 etc
Excited to be in Rwanda teaching and talking science!
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To spike or to ... 🧠 Super fun chat with @neuralreckoning on brainInspired by @pgmid ! ✨
You know, Van Gogh's painting style is more akin to spiking networks than those other kinds. So basically @neuralreckoning is the Van Gogh of networks. Hang on to those ears, Dan, and thanks for the discussion! https://t.co/g6W00tJbV2
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I'm on the latest episode of Brain Inspired talking about spiking neurons, ML and metascience! Thanks @pgmid for the invite and the extremely fun conversation. Links in the following tweet and for the explanation of why this picture you'll have to listen to the episode. 😉
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Super excited to teach on this course, and to learn from everyone involved. Come along :-)
🎉Applications for the @trend_camina course just opened🎉 To apply 👉 https://t.co/G9MGS7TUtt Application deadline 🗓️ 15th of February For more info on the course content, faculty, eligibility etc 👉 https://t.co/3daaQnDLym Good luck to the applicants🤞🤞
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Over the years my lab has been working on #meta_learning #plasticity rules in #spiking networks. Here's progress report on how far we can get using a twist on simulation based inference (fSBI), presented at @NeurIPSConf (#405) w/ @basile_cfx, @pramesh95 @ppjgoncalves & @jakhmack.
@patrickmineault Tx Patrick, great community service! We got something on #meta_learning ensembles of (EE, EI, II & IE) #plasticity rules in large #spiking networks using simulation based #inference with @jakhmack @basile_cfx @pramesh95 & @ppjgoncalves. Tweeprint coming. https://t.co/xUEz5otLuz
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Congratulations in order!!! 🥂🎉🥳
For non French speakers, the Brian spiking neural network software @briansimulator we develop with @RomainBrette and @MarcelStimberg just won a French government open science prize for its documentation. I'm very happy about that because we put a huge effort into doing this well.
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Happy to share our latest and my first first author(yay!) paper in @PLOSCompBiol, a close look at rTMS-induced remodeling in large scale spiking networks with homeostatic structural plasticity! Thanks to everyone @VlachosLab & @BernsteinNeuro for everything! 🥂🧠✨ #plasticity
🚨 Paper Alert 🧠: Our latest study @PLOSCompBiol uses computational modeling to explore homeostatic structural plasticity as a mechanism in neuronal rewiring via rTMS. Advancing our understanding of brain stimulation. Great job @Swathi_Anil_🚨#Brainstim
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All talks (but one) from SNUFA 2023 spiking neural network workshop now available on our Youtube channel:
youtube.com
These are the talks from SNUFA 2023 spiking neural network workshop. https://snufa.net/2023
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Brilliant presentation by @GalanisChr - dive into the details in his preprint
biorxiv.org
Repetitive transcranial magnetic stimulation (rTMS) is a widely used therapeutic tool in neurology and psychiatry, but its cellular and molecular mechanisms are not fully understood. Standardizing...
🧠 Fascinating insights from @GalanisChr at #AnatomischeGesellschaft! In his talk, delved into how axonal morphology and intrinsic cellular properties play a pivotal role in shaping rTMS threshold for plasticity induction. A truly significant finding, everybody was impressed! 👏
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BREAKING NEWS The 2023 #NobelPrize in Physiology or Medicine has been awarded to Katalin Karikó and Drew Weissman for their discoveries concerning nucleoside base modifications that enabled the development of effective mRNA vaccines against COVID-19.
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