diff --git a/bindsnet/network/topology_features.py b/bindsnet/network/topology_features.py
index 7abcd636..46503a87 100644
--- a/bindsnet/network/topology_features.py
+++ b/bindsnet/network/topology_features.py
@@ -291,7 +291,7 @@ def degrade(self) -> None:
         be *subtracted* from the propagated spikes.
         """
 
-        return self.degrade(self.value)
+        return self.degrade_function(self.value)
 
     def link(self, parent_feature) -> None:
         # language=rst
diff --git a/test/network/test_connections.py b/test/network/test_connections.py
index fec421da..10f5c3f1 100644
--- a/test/network/test_connections.py
+++ b/test/network/test_connections.py
@@ -341,6 +341,15 @@ def test_degradation_feature_output(self):
         )
         assert torch.allclose(conn.compute(s), s @ w - (0.5 * deg).sum(0), atol=1e-6)
 
+    def test_degradation_feature_degrade_applies_degrade_function(self):
+        # degrade() must hand the value to degrade_function. It used to call
+        # itself with an argument, which is a TypeError on the first call.
+        deg = torch.tensor([[0.2, 0.4], [0.6, 0.8], [0.1, 0.3]])
+        feature = tf.Degradation(
+            name="d", value=deg.clone(), degrade_function=lambda v: v * 0.5
+        )
+        assert torch.allclose(feature.degrade(), 0.5 * deg, atol=1e-6)
+
     def test_probability_feature_deterministic_bounds(self):
         # bernoulli(1) == 1 (always passes); bernoulli(0) == 0 (always blocked).
         s = torch.tensor([[1.0, 0.0, 1.0], [1.0, 1.0, 1.0]])