diff --git a/tutorials/end_to_end/tutorial02_excitatory_inhibitory_network.ipynb b/tutorials/end_to_end/tutorial02_excitatory_inhibitory_network.ipynb
index 301dc0fe7..d26a73c93 100644
--- a/tutorials/end_to_end/tutorial02_excitatory_inhibitory_network.ipynb
+++ b/tutorials/end_to_end/tutorial02_excitatory_inhibitory_network.ipynb
@@ -290,7 +290,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "474077c3",
+   "id": "fb2221aa",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -333,7 +333,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "05712d4e",
+   "id": "34a1d495",
    "metadata": {},
    "source": [
     "Finally, we have to set the weights given the above constraints. To this end, we sample the weights randomly from a Gaussian distribution with zero-mean and a standard deviation that scales with the ```q_factor```."
@@ -738,7 +738,10 @@
     "        \n",
     "        if convert:\n",
     "            proc_params = proc.proc_params._parameters\n",
-    "            lif_params = SubEINetworkModel.convert_rate_to_lif_params(**proc_params)\n",
+    "            # Convert rate parameters to LIF parameters.\n",
+    "            # The mapping is based on:\n",
+    "            # A unified view on weakly correlated recurrent network, Grytskyy et al., 2013\n",
+    "            lif_params = convert_rate_to_lif_params(**proc_params)\n",
     "            \n",
     "            for key, val in lif_params.items():\n",
     "                try:\n",
@@ -805,24 +808,7 @@
     "        \n",
     "        # Alias v with state and u with state_alt.\n",
     "        proc.vars.state.alias(self.lif.vars.v)\n",
-    "        proc.vars.state_alt.alias(self.lif.vars.u)\n",
-    "        \n",
-    "    def convert_rate_to_lif_params(**kwargs):\n",
-    "        '''Convert rate parameters to LIF parameters.\n",
-    "        The mapping is based on A unified view on weakly correlated recurrent network, Grytskyy et al. 2013.\n",
-    "        \n",
-    "        Parameters\n",
-    "        ----------\n",
-    "        kwargs : dict\n",
-    "            Parameter dictionary for rate network\n",
-    "        \n",
-    "        Returns\n",
-    "        -------\n",
-    "        lif_network_dict : dict\n",
-    "            Parameter dictionary for LIF network\n",
-    "        '''       \n",
-    "    \n",
-    "        return convert_rate_to_lif_params(**kwargs)"
+    "        proc.vars.state_alt.alias(self.lif.vars.u)"
    ]
   },
   {
@@ -1001,7 +987,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fdc18a427f0>]"
+       "[<matplotlib.lines.Line2D at 0x7ff5b4fc81f0>]"
       ]
      },
      "execution_count": 20,