diff --git a/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/Dardel_runSnudda_lateral.sh b/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/Dardel_runSnudda_lateral.sh
index 28b13e48b..65874b35a 100755
--- a/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/Dardel_runSnudda_lateral.sh
+++ b/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/Dardel_runSnudda_lateral.sh
@@ -3,7 +3,7 @@
 
 
 SNUDDA_DIR=$HOME/Snudda/snudda
-JOBDIR=networks/lateral_2
+JOBDIR=../networks/sten_1
 
 # SIMSIZE=50000
 
diff --git a/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/setup_sten_1.py b/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/setup_sten_1.py
index 7b3769369..48ba4ff6b 100644
--- a/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/setup_sten_1.py
+++ b/examples/parallel/KTH_PDC/lateral_inhibition/sten_1/setup_sten_1.py
@@ -40,10 +40,10 @@
 # The centre of the cube is [0.00475, 0.004, 0.00775]. num_neurons is optional
 si.add_population_unit_density(structure_name="Striatum", neuron_types=["dSPN", "iSPN"], 
                                unit_centre=np.array([0.00475, 0.004, 0.00775]) -np.array([0, 0, 50e-6]),
-                               probability_function="(d < 200e-6)*1", num_neurons=4000)
+                               probability_function="(d < 300e-6) * 1", num_neurons=4000)
 si.add_population_unit_density(structure_name="Striatum", neuron_types=["dSPN", "iSPN"], 
                                unit_centre=np.array([0.00475, 0.004, 0.00775]) -np.array([0, 0, -50e-6]),
-                               probability_function="(d < 200e-6) * 1", num_neurons=4000)
+                               probability_function="(d < 300e-6) * 1", num_neurons=4000)
 
 print("Writing json")