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Very honored and excited to receive a @NIHDirector's New Innovator Award! Thanks to the NIH Common Fund for supporting our work! #NIHHighRisk UCLA Samueli Engineering samueli.ucla.edu/engineer-award…

The first paper from our lab is out! Peter Schuette and Fernando Reis with Jonathan Kao show that hippocampal place fields display higher information content following fear conditioning! jneurosci.org/content/jneuro…

Check out a perspective from Krishna Shenoy and me at Nature Communications on measuring, manipulating, and modeling multi-area neural population dynamics (nature.com/articles/s4146…). Thanks to Dan O'Shea, Saurabh Vyas, @ChandMuse, Paul Nuyujukian, and Byron Yu for valuable feedback!

I'm going to be presenting our work on defining a notion of "usable information" and using it to study how optimal representations emerge during NN training! Today at 5pm PDT at ICLR 2021. openreview.net/pdf?id=p8agn6b…. W/ Alessandro Achille, Daksh Idnani, Jonathan Kao

Our lab is looking to hire postdocs in the areas of brain-machine interfaces, neural computation, and robotics + computer vision. More details below!

ND -> 1st %! Poured my heart into my 1st NRSA submission and was absolutely gutted when it wasn’t discussed. Extremely thankful for my advisors Nanthia Suthana Jonathan Kao for dusting me off and teaching me how to make others just as excited about my ideas as I am. Bag secured🫴💪

We distill the benefits of hierarchical RL into a simpler flat policy for offline goal-conditioned RL, achieving SOTA performance on very long-horizon, high-dimensional control problems. See below for more!

Excited to share this study, a collaboration with Weizhe Hong, where we identify shared neural dynamics in rodents and AI during social interaction! In AIs, we also perturb these dynamics and show they are causal to social behavior. Awesome work by Xingjian_Zhang 🧠 and Nguyen Phi!