From f170dbfe84bd4e844937e489a000e96ed651ccbe Mon Sep 17 00:00:00 2001
From: Robert Oostenveld <r.oostenveld@gmail.com>
Date: Mon, 30 Jan 2023 17:13:55 +0100
Subject: [PATCH] =?UTF-8?q?replace=20=C3=97=20with=20x?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 template/headmodel.md         |  8 ++++----
 tutorial/headmodel_eeg_bem.md | 26 +++++++++++++-------------
 2 files changed, 17 insertions(+), 17 deletions(-)

diff --git a/template/headmodel.md b/template/headmodel.md
index 06dbf329e..d6bf82323 100644
--- a/template/headmodel.md
+++ b/template/headmodel.md
@@ -21,9 +21,9 @@ You can load and visualize it with
 
     headmodel =
     struct with fields:
-        bnd: [1×3 struct]
+        bnd: [1x3 struct]
        cond: [0.3300 0.0041 0.3300]
-        mat: [3000×3000 double]
+        mat: [3000x3000 double]
        type: 'dipoli'
        unit: 'mm'
        
@@ -50,8 +50,8 @@ You can load and visualize it with
     mri =
       struct with fields:
               dim: [181 217 181]
-          anatomy: [181×217×181 uint8]
-        transform: [4×4 double]
+          anatomy: [181x217x181 uint8]
+        transform: [4x4 double]
              unit: 'mm'
          coordsys: 'spm'
 
diff --git a/tutorial/headmodel_eeg_bem.md b/tutorial/headmodel_eeg_bem.md
index 66acd0c5c..e08af8485 100644
--- a/tutorial/headmodel_eeg_bem.md
+++ b/tutorial/headmodel_eeg_bem.md
@@ -61,10 +61,10 @@ Then, you can read in the anatomical MRI data.
 
     disp(mri)
               dim: [256 256 256]
-          anatomy: [256×256×256 int16]
-              hdr: [1×1 struct]
-        transform: [4×4 double]
-              fid: [1×1 struct]
+          anatomy: [256x256x256 int16]
+              hdr: [1x1 struct]
+        transform: [4x4 double]
+              fid: [1x1 struct]
               unit: 'mm'
           coordsys: 'ctf'
 
@@ -214,11 +214,11 @@ We can change the segmentation from the probabilistic (or in this case Boolean)
 
     disp(segmentedmri_indexed)
               dim: [256 256 256]
-        transform: [4×4 double]
+        transform: [4x4 double]
          coordsys: 'ctf'
              unit: 'mm'
-              cfg: [1×1 struct]
-           tissue: [256×256×256 double]
+              cfg: [1x1 struct]
+           tissue: [256x256x256 double]
       tissuelabel: {'scalp'  'skull'  'brain'}
       
 After adding the anatomical data to the segmentation, we can plot them together.
@@ -352,11 +352,11 @@ There are many EEG manufacturers and almost as many EEG electrode placement syst
     elec = ft_read_sens('standard_1020.elc');
 
     disp(elec)
-        chanpos: [97×3 double]
-       chantype: {97×1 cell}
-       chanunit: {97×1 cell}
-        elecpos: [97×3 double]
-          label: {97×1 cell}
+        chanpos: [97x3 double]
+       chantype: {97x1 cell}
+       chanunit: {97x1 cell}
+        elecpos: [97x3 double]
+          label: {97x1 cell}
            type: 'eeg1010'
            unit: 'mm'
 
@@ -466,7 +466,7 @@ The headshape method is easiest for the pre-auricular points, as you can regogni
        20.4483   67.4268    3.3728
        16.4416  -70.3234    2.5651
     disp(fiducials.label)
-      4×1 cell array
+      4x1 cell array
         {'nas'}
         {'ini'}
         {'lpa'}