SwathiAnil (@swathi_anil_) 's Twitter Profile
SwathiAnil

@swathi_anil_

PhD candidate @VlachosLab & @BernsteinNeuro Freiburg,
Visiting PhD @NeuralReckoning
Weakness:Kittens.Austen.Parton

ID: 1312021681855172608

linkhttps://www.bcf.uni-freiburg.de/about/people/anil calendar_today02-10-2020 13:28:51

74 Tweet

98 Followers

290 Following

The Nobel Prize (@nobelprize) 's Twitter Profile Photo

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.

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.
Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

All talks (but one) from SNUFA 2023 spiking neural network workshop now available on our Youtube channel: youtube.com/playlist?list=…

SwathiAnil (@swathi_anil_) 's Twitter Profile Photo

Happy to share our latest and my first first author(yay!) paper in PLOS Comp Biol, a close look at rTMS-induced remodeling in large scale spiking networks with homeostatic structural plasticity! Thanks to everyone Andreas Vlachos & Bernstein Network Computational Neuroscience for everything! 🥂🧠✨ #plasticity

Tim Vogels (@tpvogels) 's Twitter Profile Photo

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 NeurIPS Conference (#405) w/ Basile Confavreux, Poornima Ramesh @ppjgoncalves & Jakob Macke.

Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

I'm on the latest episode of Brain Inspired talking about spiking neurons, ML and metascience! Thanks Paul Middlebrooks 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. 😉

I'm on the latest episode of Brain Inspired talking about spiking neurons, ML and metascience! Thanks <a href="/pgmid/">Paul Middlebrooks</a> 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. 😉
Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

II 66 - PhD student Gabriel Béna 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. x.com/neuralreckonin…

Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

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".

Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

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.

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.
Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

IV 47 - Marcus Ghosh 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.

IV 47 - <a href="/MarcusGhosh/">Marcus Ghosh</a> 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.
Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

IV 55 - SwathiAnil 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. x.com/MarcusGhosh/st…

SwathiAnil (@swathi_anil_) 's Twitter Profile Photo

Looking forward to having a great time at #BernsteinConference 2024! 🧠 Come say hi to everyone at the Dan Goodman lab ✨ Drop by my poster (IV 55) for our latest work on temporal multisensory processing! Marcus Ghosh 💫 Bernstein Network Computational Neuroscience

Dan Goodman (@neuralreckoning) 's Twitter Profile Photo

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. neural-reckoning.org/openings.html

Andreas Vlachos (@vlachoslab) 's Twitter Profile Photo

🚨 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! doi.org/10.1101/2024.1… #Neuroscience #BrainPlasticity #STDP

Allen Institute (@alleninstitute) 's Twitter Profile Photo

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. 🧵