I ll recommend this paper. Read it once, like it a lot. Not fully grasp all details yet, I ll probably present it at Allen. Really like their previous Trial-Matching one arxiv.org/abs/2306.03603 . We are using/extending some of these OT ideas at Allen for fitting neural data. Inspiring work.

Our paper on data constrained RNN that generalize to optogenetic perturbations now citable on eLife: doi.org/10.7554/eLif...

#NeuRIPS2025 Wanna find decision boundaries in your RNN? Or learn about Koopman Eigenfunctions? Come to my poster. #2002 Wednesday, Dec 3, 11am-2pm. Exhb. Hall C,D,E San Diego neurips.cc/virtual/2025...

0/10 Thanks for the interest in our preprint. Some takes say it negates or fully supports the “manifold hypothesis”, neither quite right. Our results show that if you only focus on the manifold capturing most of task-related variance, you could miss important dynamics that actually drive behavior.

Friday’s AIND JC lead by Shawn Olsen and I on the Brody lab preprint ran 90+ min, unusual. Nice paper, spirited discussion. Make a clear argument that to grasp behavior we need multiregional, multi-neuron, simultaneous single-trial data. Below quotes from the paper. www.biorxiv.org/content/10.1...

Xiao-Jing's book is a must read for computational and cognitive neuroscientists interested in mathematical modeling of cognitive phenomena

As our community increasingly shifts toward embracing the complexity of the brain, this new book by Xiao-Jing Wang will be an essential go-to. He is among a small, prescient group that embraced important ideas before the rest of us. Here he unpacks them. 1/2 www.taylorfrancis.com/books/mono/1...

Excited to share our latest preprint with @camillopadoasch.bsky.social and Xiao-Jing Wang! We present a biologically plausible framework showing how neural circuits compute & compare value to drive flexible economic decision making. www.biorxiv.org/content/10.1...

I am excited to share the last work of my postdoc as a Swartz Fellow at NYU on the dynamic routing of large-scale cognitive networks in the neocortex! 🌐🧠 Here's a quick breakdown: 🧵 preprint: www.biorxiv.org/content/10.1...