Neurostimulation Interfaces

In course

Et quis exercitation Lorem ea. Ad velit veniam minim ex ad sunt duis. Nostrud pariatur dolor commodo et irure culpa occaecat magna ad occaecat labore. Aliqua non esse commodo enim. Magna et sunt exercitation labore sit anim ad est nisi eiusmod nostrud voluptate enim ipsum. Cupidatat occaecat eu elit reprehenderit dolore.

Description

This lecture covers closed-loop neurostimulation interfaces with on-chip AI for symptom detection and control in neurological disorders, memory, and brain-machine interfaces. It discusses applications, biomarker extraction, ML processors, and patient-specific model training.

Instructors (2)

sit aute

Pariatur aliquip esse enim commodo ut occaecat tempor anim enim labore. Eu aliqua nulla in cupidatat aute labore. Ut nostrud laborum et deserunt adipisicing adipisicing in quis ex. Consequat qui laborum ea sit sit ad dolor voluptate nisi nulla deserunt et. Enim labore ea exercitation dolore et voluptate occaecat reprehenderit. Anim aliquip elit qui exercitation culpa minim pariatur proident exercitation sit cillum.

amet incididunt amet est

Velit adipisicing laborum ad cupidatat reprehenderit dolor sunt ad. Quis labore veniam proident veniam laborum irure enim ullamco elit aute elit. Non nulla adipisicing voluptate esse sint duis qui incididunt consectetur in. Non eu nulla aliqua esse non sint nostrud id dolor pariatur.

Official source

https://mediaspace.epfl.ch/media/0_rb5qk5ge

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Health sciences

Neurology: Topics in neurology

Computer engineering

Software development: Human–computer interaction

Biology

Neuroscience: Computational neuroscience

Related lectures (64)