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s-ccs · Nov 16, 2023 · 9bdc820 · 9bdc820
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diff --git a/exercises/ex3_filter.qmd b/exercises/ex3_filter.qmd
@@ -18,10 +18,10 @@ x = cos(2*pi*0.5*t) + 0.2*sin(2*pi*2.5*t+0.1) + \
             0.1*sin(2*pi*23.45*t+.8)
 ```   
 
-::: callout-tip
+
 ## Task
 Plot the signal against time.
-:::
+
 
 
 ## Transform to fourier space

diff --git a/exercises/ex4_cleaning.md → exercises/ex4_cleaning.qmd b/exercises/ex4_cleaning.md → exercises/ex4_cleaning.qmd
diff --git a/exercises/ex5_ICA.md → exercises/ex5_ICA.qmd b/exercises/ex5_ICA.md → exercises/ex5_ICA.qmd
diff --git a/exercises/ex6_linearModels.md → exercises/ex6_linearModels.qmd b/exercises/ex6_linearModels.md → exercises/ex6_linearModels.qmd
diff --git a/exercises/exercises.qmd b/exercises/exercises.qmd
@@ -11,9 +11,9 @@ Exercises are only graded pass/failed and if requested I will try to provide fee
 | Overview + first ERP  | [Exercise 1](ex1_overview.md)
 | ERPs| [Exercise 2](ex2_erpComponents.md), [Supplementary PDF file](ex2_erpComponents_Tanaka2001.pdf)
 | Filter | [Exercise 3](ex3_filter.qmd)
-| Cleaning | [Exercise 4](ex4_cleaning.md)
-| ICA | [Exercise 5](ex5_ICA.md)
-| LinearModels | [Exercise 6](ex6_linearModels.md) [Supplementary CSV file](ex6_N170.csv)
+| Cleaning | [Exercise 4](ex4_cleaning.qmd)
+| ICA | [Exercise 5](ex5_ICA.qmd)
+| LinearModels | [Exercise 6](ex6_linearModels.qmd) [Supplementary CSV file](ex6_N170.csv)
 | Encoding | [Exercise 7](ex7_encoding.md)
 | ClusterPermuatation | [Exercise 8](ex8_clusterPerm.md)
 | TimeFrequency | [Exercise 9](ex9_tf.md)

diff --git a/exercises/solutions/ex1_overview.ipynb b/exercises/solutions/ex1_overview.ipynb
@@ -1007,7 +1007,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Q** What is the unit/scale of the data now? Set it into context to the other two scales you reported (**Q**'s higher up). \n",
+    "                                                                                                **Q** What is the unit/scale of the data now? Set it into context to the other two scales you reported (**Q**'s higher up). \n",
     "\n",
     "20µV. So we went from 20.000µV to 100µV to 20µV\n"
    ]

diff --git a/exercises/solutions/ex2_filter.ipynb b/exercises/solutions/ex2_filter.ipynb
diff --git a/exercises/solutions/ex3_cleaning.ipynb b/exercises/solutions/ex3_cleaning.ipynb
diff --git a/semesterproject.qmd b/semesterproject.qmd
@@ -14,7 +14,7 @@ This has the consequence that there will be many (individual) unforseen problems
 
 This is a list of datasets with accompanying papers that I have screened. **Please** feel free to look for your own datasets either on [menar.org](https://nemar.org) or on [openneuro.org](https://openneuro.org). Try to look for datasets below 20Gb of space. There is time allocated to discuss the dataset/paper with me.
 
-| VPs | task                         | analysis | link                                                                 |
+| Subjects | task                         | analysis | link                                                                 |
 |------------------|------------------|------------------|------------------|
 | 20  | grating                      | decoding | [dataset](https://openneuro.org/datasets/ds004043/versions/1.1.0)    |
 | 19  | reaching                     | ERP      | [dataset](https://openneuro.org/datasets/ds003846/versions/1.0.1)    |