Neurofeedback: Difference between revisions

From MEG Core
Jump to navigation Jump to search
Content added Content deleted
(Initial)
 
Line 6: Line 6:


=Purpose=
=Purpose=
Create real-time feedback based on Amygdala responses. An LCMV adaptive beamformer will be used to localize the subcortical amygdala responses. The activity from the amygdala will be localized in real time and sent to the stimulus computer to deliver adaptive stimuli.
Create real-time feedback based on Amygdala responses

The beamformer will be trained on data known to evoke emotional responses. The subjects will participate in a hariri-hammer emotional faces task to "train" the beamformer. The beamformer weights from the hariri-hammer task will then be applied to the real-time data.


=Data=
=Data=

Revision as of 18:12, 8 April 2021



Alt text

Purpose

Create real-time feedback based on Amygdala responses. An LCMV adaptive beamformer will be used to localize the subcortical amygdala responses. The activity from the amygdala will be localized in real time and sent to the stimulus computer to deliver adaptive stimuli.

The beamformer will be trained on data known to evoke emotional responses. The subjects will participate in a hariri-hammer emotional faces task to "train" the beamformer. The beamformer weights from the hariri-hammer task will then be applied to the real-time data.

Data

 datalad clone git@tako:/home/git/neurofeedback_proj
 cd neurofeedback_proj
 datalad get *
 
 Data/code setup in semi-"YODA" format. Code/Data/Results