November 2022: Yongxu Zhang presented his research at the NeurIPS workshop on Robustness in Sequence Modeling! Here’s a link to the paper.
November 2022: Our collaborative project with Dr. Timothy Murphy was published in eLife, with Yongxu Zhang as second author! Here’s a link to the article.
October 2022: Prof. Saxena gave a talk at the Halıcıoğlu Data Science Institute (HDSI) at UCSD.
October 2022: Prof. Saxena co-authored an article in Neuron on next generation brain observatories. The link can be found here.
September 2022: Prof. Saxena gave a talk at the Institute for Computational Medicine at the Johns Hopkins University.
September 2022: Prof. Saxena co-authored an article in Neuron about an open-source platform for scalable, reproducible data analysis of neural data. The link can be found here.
September 2022: We posted our lab’s first preprint on biorxiv! We developed a method to disentangle social behavioral representations through a constrained subspace variational autoencoder (CS-VAE). The link can be found here.
September 2022: Our lab was awarded a National Science Foundation Neural and Cognitive Systems grant with Prof. Anne Churchland at UCLA to study how spontaneous movements affect decision making! The description can be found here.
September 2022: Our lab was recently awarded an National Institute of Health R01 grant by the Brain Initiative to develop AI methods to study neural basis of motor control! The full story can be found here.
June 2022: Prof. Saxena gave a keynote talk at the University of Chicago‘s Inaugural Symposium of the Grossman Center.
May 2022: Prof. Saxena gave a talk in the Electrical Engineering Department at the University of Washington in Seattle. The video of the talk can be found here.
May 2022: Prof. Saxena published an article in eLife on network-level strategies to generate desired muscle activity. The link can be found here.
April 2022: Prof. Saxena and Prof. Padilla-Coreano were awarded a collaborative UF SEED fund award to study the neural dynamics of social history in health and disease using Artificial Intelligence!
December 2020: Our group was awarded the UF AI Catalyst fund! Read more about this opportunity here.