PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces

Multimodal Imaging: EEG-fMRI integration

author: Tom Eichele, Bergen fMRI Group, University of Bergen

Categories

Top: Computer Science: Image Analysis: fMRI - Analysis

You might be experiencing some problems with Your Video player.

*Slides*
0:01	EEG-fMRI Integration
1:01	fMRI Group
2:05	Black Box and Surrogates for Cognitive Neuroscience
4:11	Surprise vs Expectancy
7:13	Pattern Learning Oddball pt 1
8:27	Pattern Learning Oddball - AEPs
9:33	Pattern Learning Oddball - OEPs
10:19	Pattern Learning Oddball pt 2
10:52	Single Trial EEG-fMRI
13:41	Auditory Oddball fMRI
14:30	How to Answer a Where-and-When Question pt 1
15:16	How to Answer a Where-and-When Question pt 2
16:02	How to Answer a Where-and-When Question pt 3
17:09	How to Answer a Where-and-When Question pt 4
19:17	Why Didn’t the Auditory Onset Response Show Up
21:00	What’s the Problem pt 1
21:22	What’s the Problem pt 2
21:53	How Would the Brain Frame Family Pictures pt 1
23:05	How Would the Brain Frame Family Pictures pt 2
23:47	What’s the Problem pt 3
24:31	What’s the Situation
25:14	Aims
27:22	Single Trial EEG-fMRI Revisited
29:02	Joint ICA Simulation - Sources
29:45	Joint ICA Simulation - Mixed
30:02	Joint ICA Simulation - Unmixed
30:24	What Group ICA Works
37:49	Previously Lost in Translation
39:07	If This Is What Happens in EEG-fMRI When People Make Errors
40:33	Group ICA Model
43:00	Map
44:34	Conclusion
45:40	Thanks

Lecture rating

People found this lecture:
Worth seeing
because it is:
Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.