Matt Mender

Join us June 19 for neurosurgery grand rounds, Taubman 3898 (neurosurg conference room): 7AM: C. Chestek on carbon fiber electrodes & FES 8AM: I present brain-controlled quadcopter & human BCI research. Hybrid Zoom Option: medresearch.umich.edu/events/using-i…

.@MJMender at @BciSociety showing how nonlinear dynamical systems can be used to understand latent manifolds in finger movements and how these insights could advance our decoding systems. Great Job!

Great partnership with @paradromics and the team at @umichmedicine and @UMengineering Thank you Oren Sagher, @JordanLWLam @cosjoey @MJMender @ArushiTripathy, Enrico Opri, Bill Stacey, Stephanie Jones, Ron Ball Special thanks to @Aditya_S_Pandey for his support on day 1!

We survived the Dexter to Ann Arbor half marathon! Super proud of our team. The average pace for the lab was 7:29 min/mi despite my best efforts to slow it down.

Delighted to announce that the FDA has granted us approval for an IDE that allows chronic implantation of @BlackrockNeuro_ arrays for investigational use. Eager to advance our iBCI research at @UMich. Details forthcoming @umichneuro @UMBME @UMichResearch @UMengineering

🚀 Excited to share highlights from our recent paper accepted at #NeurIPS2024! We implemented KalmanNet, a powerful new decoder for brain-machine interfaces (BMIs) that combines the best of deep learning and explainability to predict finger movements from brain activity. 🧠🧵👇

Great talk by recent PhD graduate, @MJMender, presenting on restoration of simultaneous wrist and finger movements with a #BCI and functional electrical stimulation. @ChestekLab @UM_MNI @umichneuro #SFN24 biorxiv.org/content/10.110…

Thanks for this amazing opportunity. We hope it will provide useful information for the scientists working on this topic #bionics #neuroprosthetics #hand #neuroscience

@Sam_R_Nason, with @ParagGPatil and @ChestekLab, discusses brain-controlled functional electrical stimulation to restore finger movements #SfN2022 @UMBME @umichneuro

Happy to introduce our new study in @NatureComms out of @ChestekLab showing high-velocity, simultaneous movements of two finger groups using a temporally-convolved, shallow-layer feedforward neural network. nature.com/articles/s4146…