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⛷️Very excited to be organising this workshop on generative models for neural & behavioural data analysis at #cosyne2023! ⛷️ We have a lot of exciting talks lined up, covering both methodological advancements and some very cool applications of generative models🧠

Great upcoming talks at our #Cosyne23 workshop on generative modeling of neural and behavioral data! 🏆 I'm excited to present at 4:30p! +Scott Linderman Aditya Nair ~ ആദി @theiStone Anqi Wu (@anqiwu.bsky.social) M Dowling & C Savin. Thanks Kristopher Torp Jensen Marine Schimel @davindi09 for organizing!

We're also happy to share our 'tutorial on generative models', which Marine Schimel, @davindi09 and I generated for this workshop: sites.google.com/cam.ac.uk/cosy… It consists of three notebooks giving an overview of some of the models discussed in the workshop!

🚨Tweetprint time! 🚨 We studied how de novo motor learning alters the underlying neural activity & affects motor adaptation using RNNs 📜 t.ly/vSLo Special thanks to coauthors Matt Perich Kathleen Cullen Juan Álvaro Gallego ClopathLab Pls read 🧵 + RT! 1/n

🚨 Attention grad students and postdocs in theoretical neuroscience 🚨 Come to HHMI | Janelia this fall to share your work, explore the latest advances and network with colleagues. 🗓️ Apply for our junior scientist workshop by July 5 ➡️ janelia.org/you-janelia/co… Janelia Conferences

Registration for #AABI2023 in-person in 🌴Hawaii🌴 (co-located with ICML) is now open at eventbrite.com/e/5th-symposiu… !! Spots are free but limited.

SGD can draw posterior samples from GP conditioned on millions of observations with surprising accuracy😯! New paper with Jihao Andreas Lin Shreyas Padhy David Janz Jose Miguel Hernández-Lobato Alexander Terenin text: tinyurl.com/sgdgp 🧵

Exciting postdoc position between the labs of Máté Lengyel + Guillaume Hennequin (Cambridge U) and Daniel Wolpert (Columbia U) to study the neural network mechanisms of context-dependent (continual) motor learning. Máté and I will be at Cosyne, come talk to us! jobs.cam.ac.uk/job/44808/

Wishing a warm welcome to new CSHL Fellow Mitra Javadzadeh, who joined our neuroscience faculty! Her lab studies neural computations behind visual perception and the ways in which the brain processes visual information. 🧠 cshl.edu/mitra-javadzad…

Animals can learn to use all kinds of brain-computer interfaces, from controlling single neurons to large populations of neurons in motor ctx. How do they do this? Thrilled to be finally sharing our research on this question, now up on biorxiv! 🧵

We are very excited to share our new work, which unifies probabilistic neural encoding, behavioral decoding, and joint dimensionality reduction in a single model. How? Through modeling conditional distributions in VAEs! Preprint: biorxiv.org/content/10.110…

Super excited to announce Ångström AI, our startup using Gen AI to build fast and experimentally accurate simulations of molecular interactions together with Laurence Midgley, Jose Miguel Hernández-Lobato and Gabor Csanyi. We are backed by Y Combinator! See below for a simulation demo (1/3)🧵.

The video recordings from many of these talks are now available! These could be great resources for anyone interested in theoretical and computational neuroscience. Thanks again to the organizers for putting together such a great event! indico.ictp.it/event/10481/ot…

Cool study led by Mitra Javadzadeh and Marine Schimel on the function of inter-areal communication in the neocortex, using data from my lab and biologically-constrained latent circuit modelling with Guillaume Hennequin and Yashar Ahmadian biorxiv.org/content/10.110…

I'm very excited to share a (slightly delayed) thread on our recent work with Mitra Javadzadeh, Guillaume Hennequin, Yashar Ahmadian and Sonja Hofer, investigating how connections between cortical areas shape computations in the neocortex! Details at bsky.app/profile/marine…