I honestly thought it would never happen, but Byron Yu just got a twitter account: Byron Yu

If you're registered for #cosyne2021 tomorrow, come find out how internal states influence learning in population activity! I'll be there for sessions 1a and 1b (#1-077) biorxiv.org/content/10.110…

I’m excited to share our second preprint (and #tweeprint) in a week! “Dynamic task-belief is an integral part of decision-making” biorxiv.org/content/10.110… 1/11

Our paper on probabilistic representations in RNNs during reinforcement learning is now up at PLOS Comp Biol ! The reviewers made some really great suggestions that I think improved the paper a lot since the preprint. journals.plos.org/ploscompbiol/a…

We’ve posted a new paper on an automatic method to fit large-scale spiking network models to neuronal population recordings: biorxiv.org/content/10.110…

Now that we University of Chicago Neuroscience Institute just hired 2 faculty in Computational Neuroscience we are addicted to it. We will be hiring 2 more faculty this round in Comp Neuro - one in the Department of Neurobiology and one in the Department of Physics. Please apply! apply.interfolio.com/133134

We are hiring for two positions in CMUPSYCH, one joint with @cmuneurosci - Please apply and come join us in Pittsburgh! apply.interfolio.com/132608

The 10th Statistical Analysis of Neuronal Data (SAND10) workshop will be held Dec 4-5, 2023 in Pittsburgh, PA.  Register to attend here: forms.gle/GpofVVDNZmmrZu… Speakers and schedule: sandworkshop2023.wordpress.com The workshop will be in-person only.

Out now! Byron Yu, ShenghaoWu, Matt Smith, Brent Doiron, Chengcheng Huang et al. present a procedure to customize spiking network models that reproduce the population-wide covariability of large-scale neuronal recordings. nature.com/articles/s4358… ➡️rdcu.be/dT5i9

Come join us @cmuneurosci ! We're recruiting a new Assistant Professor in the Neuroscience Institute: apply.interfolio.com/151921

We are excited to share our new method, SNOPS (Spiking Network Optimization using Population Statistics), published in Nature Computational Science. It was led by ShenghaoWu, with Chengcheng Huang, Adam Snyder, Matt Smith, and Brent Doiron. nature.com/articles/s4358… (1/n)

Check out our recent release of fully trainable PyTorch reproduction of Alphafold3!

The wait for trainable SoTA protein folding model is over! We are happy to introduce Protenix (Protein + X Molecules!), our Open Source reproduction of AF3, including inference code, dataset, weights, and training pipeline. Check our code: github.com/bytedance/Prot… 🧵 1/N

So thrilled to see our Protenix coming out!😉Huge thanks to the entire AI4S team contributing towards the real open-source (nice license, weight, data, training, codes, etc.) for the whole community!!

Technical Report github.com/bytedance/Prot…

NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address