Merge pull request #1043 from clinssen/doc_typos

Fix typos and links in documentation pages

doc/nestml_language/neurons_in_nestml.rst

@@ -10,11 +10,11 @@ Modeling neurons in NESTML
 Writing the NESTML model
 ########################
 
-The top-level element of the model is ``neuron``, followed by a name. All other blocks appear inside of here.
+The top-level element of the model is ``model``, followed by a name. All other blocks appear inside of here.
 
 .. code-block:: nestml
 
-   neuron hodkin_huxley:
+   model hodkin_huxley_neuron:
        # [...]
 
 Neuronal interactions

doc/nestml_language/synapses_in_nestml.rst

@@ -23,11 +23,11 @@ Note that the synaptic strength ("weight") variable is of type real; if the type
 Writing the NESTML model
 ########################
 
-The top-level element of the model is ``synapse``, followed by a name. All other blocks appear inside of here.
+The top-level element of the model is ``model``, followed by a name. All other blocks appear inside of here.
 
 .. code-block:: nestml
 
-   synapse stdp:
+   model stdp_synapse:
        # [...]
 
 Input and output ports

doc/running/running_nest_compartmental.rst

@@ -23,7 +23,7 @@ One variable in the model represents the local membrane potential in a compartme
 
 .. code-block:: nestml
     
-   neuron <neuron_name>:
+   model <neuron_name>:
        state:
            v_comp real = 0   # rhs value is irrelevant
 
@@ -35,7 +35,7 @@ Next, define one or more channels. An ion-channel is described in the following
 
 .. code-block:: nestml
     
-   neuron <neuron_name>:
+   model <neuron_name>:
         equations:
             inline <current_equation_name> real = \
                 <some equation based on state variables, parameters, membrane potential and other equation names> \
@@ -49,7 +49,7 @@ As an example for a HH-type channel:
 
 .. code-block:: nestml
     
-   neuron <neuron_name>:
+   model <neuron_name>:
        parameters:
           gbar_Ca_HVA real = 0.00
           e_Ca_HVA real = 50.00
@@ -89,15 +89,15 @@ The concentration-model description looks very similar:
 
 .. code-block:: nestml
     
-   neuron <neuron_name>:
+   model <neuron_name>:
        equations:
            <some_state_variable>' = <ODE right-hand-side for some_state_variable> @mechanism::concentration
 
 As an example a description of a calcium concentration model where we pretend that we have the Ca_HVA and the Ca_LVAst ion-channels defined:
 
 .. code-block:: nestml
 
-    neuron <neuron_name>:
+    model <neuron_name>:
         state:
             c_Ca real = 0.0001
 
@@ -120,7 +120,7 @@ Here synapse models are based on convolutions over a buffer of incoming spikes.
 
 .. code-block:: nestml
 
-    neuron <neuron_name>:
+    model <neuron_name>:
         equations:
             inline <current_equation_name> real = \
                 <some equation based on state variables, parameters, membrane potential and other equation names \

doc/tutorials/inhomogeneous_poisson/inhomogeneous_poisson.ipynb

@@ -14,12 +14,12 @@
   },
   {
    "cell_type": "markdown",
-   "id": "baebb161-bf56-4b3e-a487-512a67883ce6",
+   "id": "5109ab08-018d-40c6-b1b6-a383a22bdeb7",
    "metadata": {},
    "source": [
     "## Preliminaries\n",
     "\n",
-    "The inhomogeneous Poisson model is defined in the file ``inhomogeneous_poisson.nestml``. We call NESTML to generate and build the code, so the model can be instantiated in NEST Simulator."
+    "The inhomogeneous Poisson model is defined in the file [inhomogeneous_poisson.nestml](https://github.com/nest/nestml/blob/master/doc/tutorials/inhomogeneous_poisson/inhomogeneous_poisson.nestml). We call NESTML to generate and build the code, so the model can be instantiated in NEST Simulator."
    ]
   },
   {
@@ -44,8 +44,8 @@
       "              -- N E S T --\n",
       "  Copyright (C) 2004 The NEST Initiative\n",
       "\n",
-      " Version: 3.5.0-rc1\n",
-      " Built: Feb 21 2024 09:04:08\n",
+      " Version: 3.6.0-post0.dev0\n",
+      " Built: Mar 26 2024 08:52:51\n",
       "\n",
       " This program is provided AS IS and comes with\n",
       " NO WARRANTY. See the file LICENSE for details.\n",
@@ -299,7 +299,7 @@
    "source": [
     "## Simulating the models\n",
     "\n",
-    "With the NESTML model loaded into the NEST kernel, we are ready to run the simulation. We define a helper function to run the simulation for each model: the NEST built-in inhomogeneous Poisson generator, and the one created in NESTML. We simulate ``n_instances`` (default: 100) of each model and compute the achieved average rate based on the simulation. The rates from the simulation (plotted below in red) should match the target rates (in blue). Events (spikes) emitted from eac model are additionally plotted in a rastergram."
+    "With the NESTML model loaded into the NEST kernel, we are ready to run the simulation. We define a helper function to run the simulation for each model: the NEST built-in inhomogeneous Poisson generator, and the one created in NESTML. We simulate ``n_instances`` (default: 100) of each model and compute the achieved average rate based on the simulation. The rates from the simulation (plotted below in red) should match the target rates (in blue). Events (spikes) emitted from each model are additionally plotted in a rastergram."
    ]
   },
   {

doc/tutorials/stdp_dopa_synapse/stdp_dopa_synapse.ipynb

@@ -8785,7 +8785,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Citations\n",
+    "Citations\n",
     "---------\n",
     "\n",
     "[1] Mikaitis M, Pineda García G,\n",