NeuroGrid: a scalable system for large-scale recording of action potentials from the brain surface
Description: We introduce, test and disseminate a novel method to record spike information using nonpenetrating, highly conformable electrode arrays (NeuroGrid) from the surface of the brain in rodents and humans. Owing the scalable nature of the NeuroGrid, it allows for non-invasive, massively parallel recordings of spiking information from superficial cortical layers. NeuroGrid recordings will significantly advance discovery science and improve clinical diagnosis in implanted patients.
Funding type: cooperative_agreement
Funder scheme: U01
Start date: 2016-09-30
End date: 2020-06-30
Investigator: GYORGY BUZSAKI
Institution: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
Funded outputs count: 15
Funder award ID: U01NS099705
OpenAlex ID: G5349417543