diff --git a/jaxley/modules/base.py b/jaxley/modules/base.py
index abd41a81..55c43a48 100644
--- a/jaxley/modules/base.py
+++ b/jaxley/modules/base.py
@@ -737,8 +737,8 @@ def to_jax(self):
 
         for jax_arrays, data, mechs in zip(
             [jaxnodes, jaxedges],
-            [self.nodes, self.edges],
-            [self.channels, self.synapses],
+            [self.base.nodes, self.base.edges],
+            [self.base.channels, self.base.synapses],
         ):
             jax_arrays.update({"index": data.index.to_numpy()})
             all_inds = jax_arrays["index"]
@@ -754,9 +754,9 @@ def to_jax(self):
                 jax_arrays.update(params.to_dict(orient="list"))
 
         morph_params = ["radius", "length", "axial_resistivity", "capacitance"]
-        jaxnodes.update(self.nodes[["v"]+morph_params].to_dict(orient="list"))
-        jaxnodes = {k: jnp.asarray(v) for k, v in jaxnodes.items()}
-        jaxedges = {k: jnp.asarray(v) for k, v in jaxedges.items()}
+        jaxnodes.update(self.nodes[["v"] + morph_params].to_dict(orient="list"))
+        self.base.jaxnodes = {k: jnp.asarray(v) for k, v in jaxnodes.items()}
+        self.base.jaxedges = {k: jnp.asarray(v) for k, v in jaxedges.items()}
 
     def show(
         self,
@@ -1260,12 +1260,17 @@ def get_all_parameters(
         for key in ["v"] + morph_params:
             params[key] = self.base.jaxnodes[key]
 
-        for channel in self.base.channels:
-            for channel_params in channel.params:
-                params[channel_params] = self.base.jaxnodes[channel_params]
-
-        for synapse_params in self.base.synapse_param_names:
-            params[synapse_params] = self.base.jaxedges[synapse_params]
+        for jax_arrays, data, mechs in zip(
+            [self.base.jaxnodes, self.base.jaxedges],
+            [self.base.nodes, self.base.edges],
+            [self.base.channels, self.base.synapses],
+        ):
+            for mech in mechs:
+                inds = jax_arrays[mech._name]
+                for mech_param in mech.params:
+                    params[mech_param] = data[mech_param].to_numpy()
+                    params[mech_param][inds] = jax_arrays[mech_param]
+                    params[mech_param] = jnp.asarray(params[mech_param])
 
         # Override with those parameters set by `.make_trainable()`.
         for parameter in pstate: