Our team is committed to researching brain-computer interfaces and their potential to help patients with motor and speech difficulties. We are very exited to be part of this clinical trial to investigate the Connexus BCI.
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: https://t.co/eld0oB0E9g
.@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!
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.
🚀 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
https://t.co/fsr4tD2yx2
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.
https://t.co/iqtF0lYaWy