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
📢Preprint for recent project collab led by @seymourjp2 developing microneedle array for peripheral nerve interfacing. Tiny needles for tiny nerves!
#NIH_SPARC funded. #pneurolab@sparc_science
https://t.co/NYPntGB0Zw
Check out our recent @NeuroCellPress publication by @Sam_R_Nason showcasing a brain-machine interface predicting the continuous movements of two finger groups! https://t.co/o3kLoXrC82
.@UMBME researchers demonstrated the first ever brain-controlled individual finger control for advanced prostheses in primates, on a computer that could fit on an implantable device. https://t.co/H1mJM7HHM8
“As soon as I spent the summer recording signals from live neurons, I knew I wanted to do that for the rest of my life,” says Cynthia Chestek (@ChestekLab). Read more: https://t.co/iUrNhvijkk
Congratulations to @ChestekLab and collaborator Paul Cederna @UMichSurgery for receiving the Frankel Innovation Initiative grant for their project on Peripheral Nerve Interfaces for Prosthetic Hand Control https://t.co/IzkSMSVq9A
New publication: Spiking-band power correlates highly with local unit activity and improves #BrainMachineInterface (#BMI) performance. Led by @UMBME student @Sam_R_Nason in collab with @shenoystanford and Blaauw groups. https://t.co/5E6KjS36ul
Excited to announce our work on artificial hand control by amputees through the use of regenerative peripheral nerve interfaces #RPNI@UMichSurgery@UMBME. https://t.co/zbYGYJMQ4g
Low-recording yield got you down? Check out great work by @UMBME student @ElissaWelle on optimizing recording yield from #carbonfiber arrays.
https://t.co/vhaOz8feht