Decoding and Predicting Intentions from Neuroimaging Signals

author: John-Dylan Haynes, Charité - Universitätsmedizin Berlin, Bernstein Center for Computational Neuroscience Berlin, Humboldt University of Berlin
published: Dec. 3, 2012,   recorded: September 2012,   views: 2801
Categories

Slides

Related content

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.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

There has been a long debate on the existence of brain signals that precede the outcome of decisions, even before subjects believe they are consciously making up their mind. Multivariate decoding of neuroimaging signals allows to extract such choice-predictive information contained in neural signals leading up to a decision. New results show that the specific outcome of free choices between different plans can be interpreted from brain activity, not only after a decision has been made, but even several seconds before it is made. This suggests that a causal chain of events can occur outside subjective awareness even before a subject makes up his/her mind. Such signals may in future be useful for brain-computer-interfacing.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: