minor modifications

ComputationalPsychiatry · Aug 9, 2024 · bddf4aa · bddf4aa
1 parent f0f3869
commit bddf4aa
Showing 1 changed file with 20 additions and 20 deletions.
diff --git a/docs/source/notebooks/1.4-Continuous_HGF_non_linear_value_coupling.ipynb b/docs/source/notebooks/1.4-Continuous_HGF_non_linear_value_coupling.ipynb
@@ -16,7 +16,7 @@
   },
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-   "execution_count": 76,
+   "execution_count": 10,
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    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 11,
    "metadata": {},
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    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -124,15 +124,15 @@
    ],
    "source": [
     "np.random.seed(43)\n",
-    "\n",
+    "high_noise = 3\n",
     "a = 19 # setting an arbitrary threshold\n",
+    "\n",
     "u1 = np.zeros(len(u2))\n",
     "for i in range(len(u2)):\n",
     "    if u2[i] > a:\n",
     "        u1[i] = u2[i]\n",
     "    else:\n",
     "        u1[i] = 0\n",
-    "\n",
     "u1 = u1 + (np.random.normal(0, high_noise, 1000))\n",
     "\n",
     "# plot the signal\n",
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -259,10 +259,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.sources.Source at 0x2c8b01175c0>"
+       "<graphviz.sources.Source at 0x24b5b134fe0>"
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-     "execution_count": 81,
+     "execution_count": 15,
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      "output_type": "execute_result"
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@@ -301,7 +301,7 @@
   },
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-   "execution_count": 82,
+   "execution_count": 16,
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@@ -325,7 +325,7 @@
   },
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-   "execution_count": 83,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -388,10 +388,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.sources.Source at 0x2c8b4044770>"
+       "<graphviz.sources.Source at 0x24b38cf1f70>"
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+     "execution_count": 17,
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@@ -423,7 +423,7 @@
   },
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-   "execution_count": 84,
+   "execution_count": 18,
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    "outputs": [],
    "source": [
@@ -436,7 +436,7 @@
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    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 19,
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    "outputs": [
     {
@@ -449,7 +449,7 @@
        "      dtype=object)"
       ]
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-     "execution_count": 85,
+     "execution_count": 19,
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@@ -490,16 +490,16 @@
   },
   {
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-   "execution_count": 92,
+   "execution_count": 20,
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    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x2c8b1a2a060>"
+       "<matplotlib.legend.Legend at 0x24b58d0f140>"
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-     "execution_count": 92,
+     "execution_count": 20,
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