diff --git a/doc/source/notebooks/05_simulations.ipynb b/doc/source/notebooks/05_simulations.ipynb
index d7d3c374..f07b0bde 100644
--- a/doc/source/notebooks/05_simulations.ipynb
+++ b/doc/source/notebooks/05_simulations.ipynb
@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "simulation_path = \"/gpfs/bbp.cscs.ch/project/proj42/circuits/CA1.O1/mooc-circuit/simulation_config_bluepy_examples.json\"\n",
+    "simulation_path = \"/gpfs/bbp.cscs.ch/project/proj12/NSE/bluepysnap-functional-tests/simulation_config_bluepy_examples.json\"\n",
     "simulation = bluepysnap.Simulation(simulation_path)"
    ]
   },
@@ -69,21 +69,24 @@
     {
      "data": {
       "text/plain": [
-       "{'run': {'tstop': 1000.0, 'dt': 0.025, 'seed': 264118},\n",
-       " 'target_simulator': 'CORENEURON',\n",
-       " 'network': '/gpfs/bbp.cscs.ch/project/proj42/circuits/CA1.O1/mooc-circuit/circuit_config.json',\n",
+       "{'inputs': None,\n",
+       " 'network': '/gpfs/bbp.cscs.ch/project/proj12/NSE/bluepysnap-functional-tests/mooc_circuit.json',\n",
        " 'node_sets_file': '/gpfs/bbp.cscs.ch/project/proj42/circuits/CA1.O1/mooc-circuit/node_sets.json',\n",
-       " 'inputs': {},\n",
-       " 'output': {'output_dir': '/gpfs/bbp.cscs.ch/project/proj42/circuits/CA1.O1/mooc-circuit/simulations/sonata_report',\n",
-       "  'log_file': 'simout-914515.log',\n",
+       " 'output': {'log_file': 'simout-914515.log',\n",
+       "  'output_dir': '/gpfs/bbp.cscs.ch/project/proj42/circuits/CA1.O1/mooc-circuit/simulations/sonata_report',\n",
        "  'spikes_file': 'out.h5',\n",
-       "  'spikes_sort_order': 'time'},\n",
+       "  'spikes_sort_order': 'by_time'},\n",
        " 'reports': {'soma_report': {'cells': 'CA1',\n",
-       "   'variable_name': 'v',\n",
-       "   'sections': 'soma',\n",
-       "   'enabled': True,\n",
        "   'dt': 0.1,\n",
-       "   'file_name': 'soma'}}}"
+       "   'enabled': True,\n",
+       "   'end_time': 1000,\n",
+       "   'file_name': 'soma',\n",
+       "   'sections': 'soma',\n",
+       "   'start_time': 0,\n",
+       "   'type': 'compartment',\n",
+       "   'variable_name': 'v'}},\n",
+       " 'run': {'dt': 0.025, 'random_seed': 264118, 'tstop': 1000.0},\n",
+       " 'target_simulator': 'CORENEURON'}"
       ]
      },
      "execution_count": 3,
@@ -103,7 +106,7 @@
     {
      "data": {
       "text/plain": [
-       "{'tstop': 1000.0, 'dt': 0.025, 'seed': 264118}"
+       "<libsonata._libsonata.Run at 0x2aaae3d3d1b0>"
       ]
      },
      "execution_count": 4,
@@ -163,7 +166,7 @@
     {
      "data": {
       "text/plain": [
-       "{}"
+       "<libsonata._libsonata.Conditions at 0x2aaae3d3dc30>"
       ]
      },
      "execution_count": 7,
@@ -203,7 +206,7 @@
     {
      "data": {
       "text/plain": [
-       "<bluepysnap.circuit.Circuit at 0x7f4e0eb07250>"
+       "<bluepysnap.circuit.Circuit at 0x2aaae3d3f5e0>"
       ]
      },
      "execution_count": 9,
@@ -223,7 +226,7 @@
     {
      "data": {
       "text/plain": [
-       "<bluepysnap.node_sets.NodeSets at 0x7f4e0eb07050>"
+       "<bluepysnap.node_sets.NodeSets at 0x2aaae3d3f7f0>"
       ]
      },
      "execution_count": 10,
@@ -243,7 +246,7 @@
     {
      "data": {
       "text/plain": [
-       "<bluepysnap.spike_report.SpikeReport at 0x7f4e0eb1b190>"
+       "<bluepysnap.spike_report.SpikeReport at 0x2aaae3d3f610>"
       ]
      },
      "execution_count": 11,
@@ -263,7 +266,7 @@
     {
      "data": {
       "text/plain": [
-       "{'soma_report': <bluepysnap.frame_report.SomaReport at 0x7f4e0fb32e90>}"
+       "{'soma_report': <bluepysnap.frame_report.SomaReport at 0x2aaae3d3fe50>}"
       ]
      },
      "execution_count": 12,
@@ -286,7 +289,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python3",
    "language": "python",
    "name": "python3"
   },
@@ -300,7 +303,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.12"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
diff --git a/doc/source/notebooks/06_spike_reports.ipynb b/doc/source/notebooks/06_spike_reports.ipynb
index 66cf1325..8f1f13fe 100644
--- a/doc/source/notebooks/06_spike_reports.ipynb
+++ b/doc/source/notebooks/06_spike_reports.ipynb
@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "simulation_path = \"/gpfs/bbp.cscs.ch/project/proj42/circuits/CA1.O1/mooc-circuit/simulation_config_bluepy_examples.json\"\n",
+    "simulation_path = \"/gpfs/bbp.cscs.ch/project/proj12/NSE/bluepysnap-functional-tests/simulation_config_bluepy_examples.json\"\n",
     "simulation = bluepysnap.Simulation(simulation_path)"
    ]
   },
@@ -163,7 +163,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "hippocampus_neurons: <class 'bluepysnap.nodes.NodePopulation'>\n"
+      "hippocampus_neurons: <class 'bluepysnap.nodes.node_population.NodePopulation'>\n"
      ]
     }
    ],
@@ -385,14 +385,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -414,14 +412,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -433,26 +429,75 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Only filtered reports have plotting cababilities. However, filters can be called without arguments which leads to the filtered object having all the available data"
+    "The filtered report's `firing_rate_histogram` only takes into account the nodes that are present in the filtered report and thus the Y-axis frequency values do not represent the whole `group` the filtered report was created with.\n",
+    "\n",
+    "Creating the same plot and computing frequencies based on the whole `group` can be done as follows:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "ax = plt.gca()\n",
+    "ax.set_xlabel(\"Time [ms]\")\n",
+    "ax.set_ylabel(\"PSTH [Hz]\")\n",
+    "ax.set_title(f\"PSTH for group: {filtered.group}\")\n",
+    "\n",
+    "times = filtered.report.index\n",
+    "\n",
+    "time_start = np.min(times)\n",
+    "time_stop = np.max(times)\n",
+    "\n",
+    "# heuristic for a nice bin size (~100 spikes per bin on average)\n",
+    "time_binsize = min(50.0, (time_stop - time_start) / ((len(times) / 100.0) + 1.0))\n",
+    "\n",
+    "bins = np.append(np.arange(time_start, time_stop, time_binsize), time_stop)\n",
+    "hist, bin_edges = np.histogram(times, bins=bins)\n",
+    "node_count = len(simulation.circuit.nodes.ids(filtered.group))  # Get length of node ids for whole `group`\n",
+    "freq = 1.0 * hist / node_count / (0.001 * time_binsize)\n",
+    "\n",
+    "# use the middle of the bins instead of the start of the bin\n",
+    "ax.plot(0.5 * (bin_edges[1:] + bin_edges[:-1]), freq, label=\"PSTH\", drawstyle=\"steps-mid\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Only filtered reports have plotting cababilities. However, filters can be called without arguments which leads to the filtered object having all the available data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -469,21 +514,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -500,19 +543,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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BcQbHDcDSJEuS7E53snv9UJ31wElt+njgqqqqVr66XXW1BFgKXD/GtkqSRjS24GjnLE4DrgDuBNZV1e1JzkzyplbtAmCfJBPAe4HT27q3A+uAO4AvAadW1RaAJJ8Cvgm8LMn9SU4eVx8kSU+3cJwbr6rLgcuHys4YmP4pcMIU654FnDVJ+Yk7uJmSpB7m7MlxSdJ4GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9jDU4kqxMsjHJRJLTJ1m+R5JL2vLrkiweWLamlW9Mcsyo25QkjdfYgiPJAuBc4FhgGXBikmVD1U4GHquqg4FzgLPbusuA1cAhwErgvCQLRtymJGmMxrnHsQKYqKq7q+pnwFpg1VCdVcBFbfpS4OgkaeVrq2pTVd0DTLTtjbJNSdIYLRzjtg8A7huYvx941VR1qmpzkseBfVr5tUPrHtCmt7VNAJKcApzSZn+cZON29AFg3++dfdzD27nubLVvknnX53n2e56Xv2PAPo/uJVMtGGdw7FJVdT5w/jPdTpINVbV8BzRp1rDPc9986y/Y5x1pnIeqHgAOHJhf1MomrZNkIbA38Mg0646yTUnSGI0zOG4AliZZkmR3upPd64fqrAdOatPHA1dVVbXy1e2qqyXAUuD6EbcpSRqjsR2qaucsTgOuABYAF1bV7UnOBDZU1XrgAuDiJBPAo3RBQKu3DrgD2AycWlVbACbb5rj60Dzjw12zkH2e++Zbf8E+7zDp/oMvSdJovHNcktSLwSFJ6sXgmMJcHdokyYVJHkxy20DZC5N8Jcl32s9faeVJ8pH2GdyS5JW7ruXbL8mBSa5OckeS25O8u5XP2X4neXaS65N8u/X5g618SRveZ6IN97N7K59y+J/ZpI0wcVOSy9r8nO4vQJJ7k9ya5OYkG1rZWL/bBsck5vjQJh+nG8Zl0OnAlVW1FLiyzUPX/6XtdQrwP3dSG3e0zcAfVdUy4Ajg1Pb7nMv93gQcVVWvAA4DViY5gm5Yn3PaMD+P0Q37A1MM/zMLvRu4c2B+rvd3q9+pqsMG7tkY73e7qnwNvYDfBK4YmF8DrNnV7dqB/VsM3DYwvxHYv03vD2xs0x8DTpys3mx+AV8AXjdf+g08F/gW3SgLDwMLW/lT33O6KxV/s00vbPWyq9ves5+L2h/Jo4DLgMzl/g70+15g36GysX633eOY3GTDpRwwRd254EVV9YM2/UPgRW16zn0O7ZDE4cB1zPF+t8M2NwMPAl8Bvgv8qKo2tyqD/fql4X+ArcP/zCZ/CbwP+Hmb34e53d+tCvhykhvbUEsw5u/2nB1yRNunqirJnLxGO8nzgM8A76mqJ7rxNDtzsd/V3ft0WJIXAJ8DXr5rWzQ+SY4DHqyqG5McuYubs7O9pqoeSPKrwFeS3DW4cBzfbfc4Jjffhjb5+yT7A7SfD7byOfM5JNmNLjQ+WVWfbcVzvt8AVfUj4Gq6QzUvaMP7wC/3a6rhf2aLVwNvSnIv3ajZRwF/xdzt71Oq6oH280G6/yCsYMzfbYNjcvNtaJPBoV9OojsHsLX87e1KjCOAxwd2f2eNdLsWFwB3VtWHBxbN2X4n2a/taZDkOXTndO6kC5DjW7XhPk82/M+sUFVrqmpRVS2m+/d6VVW9lTna362S7Jlkr63TwOuB2xj3d3tXn9iZqS/gDcD/ozsu/Me7uj07sF+fAn4A/BPd8c2T6Y7tXgl8B/gq8MJWN3RXl30XuBVYvqvbv519fg3dceBbgJvb6w1zud/AocBNrc+3AWe08l+jG/dtAvg0sEcrf3abn2jLf21X9+EZ9P1I4LL50N/Wv2+31+1b/1aN+7vtkCOSpF48VCVJ6sXgkCT1YnBIknoxOCRJvRgckqReDA7NWEl+PEKd9yR57pjb8eIkl7bpdyT56HZu58wkr91GnSOT/Ovt2X7Pthy5dQTZofJ3JHkoyd/sgPd4SxuF9Wnvo9nN4NBs9x66QfxG1kY/HllVfb+qjt92zW1u54yq+uo2qh0J9AqOgTujd5RLquqdz3QjVXUJ8Iy3o5nH4NCM1/53fE2SS5PcleST7c7XdwEvBq5OcnWr+/ok30zyrSSfbuNTbX1mwdlJvgWckORd6Z7PcUuSta3OB5Jc3Nb/TpJ/38oXZ+D5JQPtemOru+9U7ztU/+NJjh9ozwdb/VuTvLwNwPgfgD9M92yF32p3gH8myQ3t9eqhtn4DuDjJtUkOGXiva5IsT7KiteumJP83yct6fvbvSPL5dM90uDfJaUne27Z3bZIXtnpP+zw1dznIoWaLw4FDgO8D3wBeXVUfSfJeumcRPJxkX+BPgNdW1T8keT/wXuDMto1HquqVAEm+Dyypqk1bh+ZoDqV7ZseewE1J/m6yxiR5c9v2G4AF23jfqTxcVa9M8gfAf6qqdyb5X8CPq+q/t/f5W7rnSXw9yUF0w4H/i7b+MroB7n6S5A+B3wP+NN3YRPtX1YYkzwd+q6o2t8Nkfw78u220a9iv033+z6a70/r9VXV4knOAt9ONSns6k3+emoMMDs0W11fV/QDphgpfDHx9qM4RdH9Mv5Fu5NvdgW8OLL9kYPoW4JNJPg98fqD8C1X1E+AnbS9mBd0QJYOOApYDr69ulN3jtvG+U9k62OKNwL+dos5rgWX5xUi+zx/Ym1nf2gqwDvgy8Kd0AXJpK98buCjJUrphV3YboV3Drq6qJ4EnkzwOfLGV30oXtDD156k5yODQbLFpYHoLk393A3ylqk6cYhv/MDD9RuC3gd8F/jjJb7Ty4TF4JhuT57t0YwS9FNgwwvtOZWufpuoPdIeTj6iqnw4WtiB5qj/VDav9SJJDgbfQHfIC+DO6P/xvbofCrunZxsF2Qvesi00D01vb/bTPs37xHAzNMZ7j0Gz3JLBXm74WeHWSg+GpkUNfOrxCkmcBB1bV1cD76f5XvvV/8avSPa97H7oT1TdM8p7fozvc87/beYWR3nc7+gPdXsR/HGj7YdOsewndg4z2rqpbWtne/GLY7HdsZ5umtY3PU3OQwaHZ7nzgS0murqqH6P44firJLXSHiyZ7eNEC4BNJbqUbQfYj1T2zArpDLlfThcGfVdX3J3vTqroLeCvdCKvPH/F9R/FF4M1bT44D7wKWt5POd/CLPYnJXEo3pPi6gbL/BnwoyU2M7wjDdJ+n5iBHx5WaJB9g4MT0fJTkHXRDbZ+2g7Z3JN2J/+N2xPY0M7jHIWnQT4Bjs4NuAATOAx57xq3SjOIehySpF/c4JEm9GBySpF4MDklSLwaHJKkXg0OS1Mv/BxA7ZWYwl8kcAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -530,7 +571,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -571,7 +612,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python3",
    "language": "python",
    "name": "python3"
   },
@@ -585,7 +626,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.12"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
diff --git a/doc/source/notebooks/07_frame_reports.ipynb b/doc/source/notebooks/07_frame_reports.ipynb
index f2989771..5c30c2fd 100644
--- a/doc/source/notebooks/07_frame_reports.ipynb
+++ b/doc/source/notebooks/07_frame_reports.ipynb
@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "simulation_path = \"/gpfs/bbp.cscs.ch/project/proj42/circuits/CA1.O1/mooc-circuit/simulation_config_bluepy_examples.json\"\n",
+    "simulation_path = \"/gpfs/bbp.cscs.ch/project/proj12/NSE/bluepysnap-functional-tests/simulation_config_bluepy_examples.json\"\n",
     "simulation = bluepysnap.Simulation(simulation_path)"
    ]
   },
@@ -58,7 +58,7 @@
     {
      "data": {
       "text/plain": [
-       "{'soma_report': <bluepysnap.frame_report.SomaReport at 0x7f58ea6d8550>}"
+       "{'soma_report': <bluepysnap.frame_report.SomaReport at 0x2aaab6be5610>}"
       ]
      },
      "execution_count": 3,
@@ -116,7 +116,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0 1000.0 0.1 ms\n"
+      "0.0 1000.0 0.1 ms\n"
      ]
     }
    ],
@@ -191,7 +191,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "hippocampus_neurons: <class 'bluepysnap.nodes.NodePopulation'>\n"
+      "hippocampus_neurons: <class 'bluepysnap.nodes.node_population.NodePopulation'>\n"
      ]
     }
    ],
@@ -553,14 +553,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -582,14 +580,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -616,7 +612,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python3",
    "language": "python",
    "name": "python3"
   },
@@ -630,7 +626,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.12"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,