updated tags

_data/tag/entropy.yml

@@ -1,3 +1,3 @@
-- name:  Performing modified Multiscale Entropy (mMSE) analysis on EEG/MEG/LFP data
+- name:  Perform modified Multiscale Entropy (mMSE) analysis on EEG/MEG/LFP data
   link:  /example/entropy_analysis
 

_data/tag/example.yml

@@ -103,7 +103,7 @@
 - name:  Align EEG electrode positions to BEM headmodel
   link:  /example/electrodes2bem
 
-- name:  Performing modified Multiscale Entropy (mMSE) analysis on EEG/MEG/LFP data
+- name:  Perform modified Multiscale Entropy (mMSE) analysis on EEG/MEG/LFP data
   link:  /example/entropy_analysis
 
 - name:  Compute EEG leadfields using a FEM headmodel
@@ -115,7 +115,7 @@
 - name:  Fixing a missing channel
   link:  /example/fixing_a_missing_sensor
 
-- name:  Fitting oscillations and one-over-F (FOOOF).
+- name:  Fitting oscillations and one-over-F (FOOOF)
   link:  /example/fooof
 
 - name:  Example real-time average

_data/tag/fooof.yml

@@ -1,3 +1,3 @@
-- name:  Fitting oscillations and one-over-F (FOOOF).
+- name:  Fitting oscillations and one-over-F (FOOOF)
   link:  /example/fooof
 

_data/tag/meg-language.yml

@@ -46,7 +46,7 @@
 - name:  Preprocessing - Segmenting and reading trial-based EEG and MEG data
   link:  /tutorial/preprocessing
 
-- name:  Creating a sourcemodel for source reconstruction of MEG or EEG data
+- name:  Creating a source model for source reconstruction of MEG or EEG data
   link:  /tutorial/sourcemodel
 
 - name:  Time-frequency analysis using Hanning window, multitapers and wavelets

_data/tag/meg.yml

@@ -205,7 +205,7 @@
 - name:  Sensor-level ERF, TFR and connectivity analyses
   link:  /tutorial/sensor_analysis
 
-- name:  Creating a sourcemodel for source reconstruction of MEG or EEG data
+- name:  Creating a source model for source reconstruction of MEG or EEG data
   link:  /tutorial/sourcemodel
 
 - name:  Time-frequency analysis using Hanning window, multitapers and wavelets

_data/tag/mri.yml

@@ -76,6 +76,6 @@
 - name:  Source reconstruction of event-related fields using minimum-norm estimation
   link:  /tutorial/minimumnormestimate
 
-- name:  Creating a sourcemodel for source reconstruction of MEG or EEG data
+- name:  Creating a source model for source reconstruction of MEG or EEG data
   link:  /tutorial/sourcemodel
 

_data/tag/plotting.yml

@@ -70,7 +70,7 @@
 - name:  Sensor-level ERF, TFR and connectivity analyses
   link:  /tutorial/sensor_analysis
 
-- name:  Creating a sourcemodel for source reconstruction of MEG or EEG data
+- name:  Creating a source model for source reconstruction of MEG or EEG data
   link:  /tutorial/sourcemodel
 
 - name:  Time-frequency analysis using Hanning window, multitapers and wavelets

_data/tag/source.yml

@@ -145,7 +145,7 @@
 - name:  Channel and source analysis of mouse EEG
   link:  /tutorial/mouse_eeg
 
-- name:  Creating a sourcemodel for source reconstruction of MEG or EEG data
+- name:  Creating a source model for source reconstruction of MEG or EEG data
   link:  /tutorial/sourcemodel
 
 - name:  Beamforming oscillatory responses in MEG data

_data/tag/sourcemodel.yml

@@ -7,7 +7,7 @@
 - name:  Template models for source reconstruction
   link:  /template/sourcemodel
 
-- name:  Creating a sourcemodel for source reconstruction of MEG or EEG data
+- name:  Creating a source model for source reconstruction of MEG or EEG data
   link:  /tutorial/sourcemodel
 
 - name:  Creation of headmodels and sourcemodels for source reconstruction

_data/tag/tutorial.yml

@@ -127,7 +127,7 @@
 - name:  Extracting the brain state and events from continuous sleep EEG
   link:  /tutorial/sleep
 
-- name:  Creating a sourcemodel for source reconstruction of MEG or EEG data
+- name:  Creating a source model for source reconstruction of MEG or EEG data
   link:  /tutorial/sourcemodel
 
 - name:  Preprocessing and analysis of spike-train data