diff --git a/bindsnet/encoding/loaders.py b/bindsnet/encoding/loaders.py
index 3ba7f881..eb194d1f 100644
--- a/bindsnet/encoding/loaders.py
+++ b/bindsnet/encoding/loaders.py
@@ -26,7 +26,7 @@ def bernoulli_loader(
     :param float max_prob: Maximum probability of spike per Bernoulli trial.
     """
     # Setting kwargs.
-    max_prob = kwargs.get("dt", 1.0)
+    max_prob = kwargs.get("max_prob", 1.0)
 
     for i in range(len(data)):
         # Encode datum as Bernoulli spike trains.
diff --git a/bindsnet/network/monitors.py b/bindsnet/network/monitors.py
index 4446e678..4098a0c2 100644
--- a/bindsnet/network/monitors.py
+++ b/bindsnet/network/monitors.py
@@ -4,10 +4,6 @@
 
 import numpy as np
 import torch
-import numpy as np
-
-from abc import ABC
-from typing import Union, Optional, Iterable, Dict
 
 from bindsnet.network.nodes import Nodes
 from bindsnet.network.topology import (
diff --git a/bindsnet/network/topology.py b/bindsnet/network/topology.py
index 10df4582..00361ffa 100644
--- a/bindsnet/network/topology.py
+++ b/bindsnet/network/topology.py
@@ -410,7 +410,7 @@ def __init__(
         source: Nodes,
         target: Nodes,
         device: device,
-        pipeline: list = [],
+        pipeline: Optional[list] = None,
         manual_update: bool = False,
         traces: bool = False,
         **kwargs,