diff --git a/brainpy/__init__.py b/brainpy/__init__.py
index 4e3f7b6d4..b754e75e8 100644
--- a/brainpy/__init__.py
+++ b/brainpy/__init__.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-__version__ = "2.1.9"
+__version__ = "2.1.10"
 
 
 try:
diff --git a/brainpy/dyn/base.py b/brainpy/dyn/base.py
index 7fdb080d4..d48c773fb 100644
--- a/brainpy/dyn/base.py
+++ b/brainpy/dyn/base.py
@@ -172,7 +172,7 @@ def get_delay_data(
       self,
       name: str,
       delay_step: Union[int, bm.JaxArray, jnp.DeviceArray],
-      indices: Union[int, bm.JaxArray, jnp.DeviceArray] = None,
+      *indices: Union[int, bm.JaxArray, jnp.DeviceArray],
   ):
     """Get delay data according to the provided delay steps.
 
@@ -192,18 +192,18 @@ def get_delay_data(
     """
     if name in self.global_delay_vars:
       if isinstance(delay_step, int):
-        return self.global_delay_vars[name](delay_step, indices)
+        return self.global_delay_vars[name](delay_step, *indices)
       else:
-        if indices is None:
-          indices = jnp.arange(delay_step.size)
-        return self.global_delay_vars[name](delay_step, indices)
+        if len(indices) == 0:
+          indices = (jnp.arange(delay_step.size), )
+        return self.global_delay_vars[name](delay_step, *indices)
     elif name in self.local_delay_vars:
       if isinstance(delay_step, int):
         return self.local_delay_vars[name](delay_step)
       else:
-        if indices is None:
-          indices = jnp.arange(delay_step.size)
-        return self.local_delay_vars[name](delay_step, indices)
+        if len(indices) == 0:
+          indices = (jnp.arange(delay_step.size), )
+        return self.local_delay_vars[name](delay_step, *indices)
     else:
       raise ValueError(f'{name} is not defined in delay variables.')
 
diff --git a/brainpy/nn/base.py b/brainpy/nn/base.py
index 38cb6b564..f6e0529f6 100644
--- a/brainpy/nn/base.py
+++ b/brainpy/nn/base.py
@@ -1478,7 +1478,6 @@ def plot_node_graph(self,
     legends = dict() if legends is None else legends
     ax.legend(proxie, labels, scatterpoints=1, markerscale=2, loc='best', **legends)
     if show:
-      plt.tight_layout()
       plt.show()