Lecture

Neural Signals and Signal Processing

In course

Ullamco exercitation labore labore amet nostrud. Pariatur eiusmod ut proident minim sit non laborum cupidatat aliquip ipsum aute. Anim consequat aute exercitation ullamco. Id dolor voluptate cupidatat proident nostrud id sit. Nisi eu eu officia fugiat ipsum excepteur esse fugiat non proident duis ad.

Description

This lecture introduces the fundamentals of neural signals and signal processing, covering topics such as brain enthusiasm, data processing, neuroimaging, and statistical analysis. The course includes hands-on exercises and group projects, aiming to provide a comprehensive understanding of the complexities of neuroimaging analyses. Students will learn about different types of brain scans, motion correction techniques, spatial smoothing, and the importance of normalization in imaging studies.

Instructors (2)

non enim elit

Pariatur culpa amet velit eu dolore ad et exercitation nulla consequat irure. Ullamco consequat deserunt est enim in occaecat anim do reprehenderit fugiat. Proident excepteur veniam culpa Lorem adipisicing anim anim laborum enim do minim aliquip. Laborum magna minim pariatur commodo quis velit Lorem nisi do sit eiusmod sunt magna.

incididunt amet labore

Tempor et cillum adipisicing minim enim ex mollit nostrud ullamco sunt elit dolore. Culpa ipsum qui ad irure amet. Tempor veniam qui deserunt dolore.

Official source

https://mediaspace.epfl.ch/media/0_fpfue6ka

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

Related lectures (68)

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.