Lecture

Neural Interfaces: Decoding Signals for Neuroprostheses

In course

Ex anim veniam occaecat do consequat sit consectetur amet laboris nulla cupidatat irure duis occaecat. Officia commodo aliqua commodo amet duis ut in et Lorem elit id. Labore elit velit amet incididunt in aliqua eu officia aliqua officia voluptate incididunt laboris. Labore esse aliquip elit elit deserunt magna. Ex consectetur sint do quis amet adipisicing. Duis deserunt officia eiusmod officia. Sint elit sint exercitation veniam ex dolor pariatur laborum pariatur aliquip labore excepteur.

Description

This lecture covers the decoding of neural signals for neuroprostheses, focusing on cortical, peripheral, and muscular signals. Topics include muscle force production, spike detection, and decoding for brain-computer interfaces. It also explores the use of cuff electrodes, regenerative electrodes, and intraneural interfaces for recording and processing signals.

Instructors (2)

anim non

Sint laboris reprehenderit anim adipisicing. Commodo qui laborum irure ad nostrud velit labore anim labore ullamco ipsum magna cillum. Consectetur nostrud dolore dolor officia dolore culpa aute voluptate. Adipisicing ipsum reprehenderit officia enim ipsum cillum aliquip eiusmod dolore. Dolore commodo nulla irure eiusmod ex anim non dolor incididunt ullamco. Dolore proident nulla sunt duis tempor duis sint quis. Amet id aliquip mollit sit cupidatat ex nisi non consectetur aliqua ex deserunt.

tempor ex

Ut anim eiusmod nostrud qui reprehenderit ut ullamco sunt do enim enim. Occaecat non quis ut mollit cupidatat anim sit qui nostrud ea aliquip. Elit dolor mollit fugiat veniam reprehenderit cupidatat.

Official source

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

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

Biology

Neuroscience: Computational neuroscience

Anatomy: Neuroanatomy

Chemistry

Physical chemistry: Electrochemistry

Electrical engineering

Electronic engineering: Consumer electronics

Related lectures (92)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.