After more than 5 decades of parallel development, #corticalstimulation for artificial #vision & artificial #touch is beginning to converge
rdcu.be/flRzh
Our new @natrevbioeng.nature.com review brings together shared principles and modality-specific strategies across both fields
Huge thanks to our generous sponsors — Blackrock Neurotech, Cleveland FES Center, Brain Products / Brain Vision, and CorTec — for supporting the BCI Society’s SfN Social 2025! Your partnership makes this special event possible.
Learn more: bcisociety.org/bci-social-a...
#BCISocial #SfN2025
Nature Reviews Bioengineering - Cortical sensory prostheses aim to restore vision and touch by stimulating primary visual and somatosensory cortices. This Review examines shared challenges and...
rdcu.be
BCI Society
Giacomo Valle
The BCI Society is excited to introduce a new, discounted membership for BCI users and their family members or caregivers.
See bcisociety.org/membership/ for details.
We are excited to share the preprint for a new project, "Finding the groove in neural space". www.medrxiv.org/content/10.6...
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NEW PREPRINT OUT!
Happy to share that our #preprint on how the human #brain encodes #touch: biorxiv.org/content/10.6...
We investigate how touch is encoded in the human #somatosensory and #motor cortices recorded via #microelectrode arrays across different tactile conditions
We first identified times of erroneous movements during unassisted cursor control (red). We then added the pre-error window (yellow, 0.2 seconds before error begins). We found that we could reliably classify these time windows from electrodes in motor cortex of 4 study participants.
The neural signature of rhythm and tempo remains difficult to study in both humans and non-human primates. Here we recorded from the motor cortex of human participants implanted with intracortical mic...
www.medrxiv.org
BCI Society
Giacomo Valle
John Downey
Cortical Bionics Research Group
Once we identified error in real-time, we automatically slowed the cursor movement. This step improved trial accuracy and speed, and lowered the perceived difficulty of the task. A quick, accurate and easy-to-use device will be a boon for people with motor disabilities who benefit from BCI.
Our latest preprint uses the brain's own recognition, and prediction, of movement errors to improve Brain-Computer Interface control. This work, led by @camillegontier.bsky.social and @jenpitt.bsky.social, sets the stage for more accurate and easy-to-use BCIs.
www.biorxiv.org/content/10.6...