diff --git a/src/spikeanalysis/spike_plotter.py b/src/spikeanalysis/spike_plotter.py
index 46628b5..67e71db 100644
--- a/src/spikeanalysis/spike_plotter.py
+++ b/src/spikeanalysis/spike_plotter.py
@@ -718,13 +718,38 @@ def plot_isi(self):
             fig, ax = plt.subplots(figsize=self.figsize)
             ax.hist(isi, density=True, bins=bins, color="k")
             ax.set_xlabel("Time (ms)")
-            ax.set_ylabel("Counts")
+            ax.set_ylabel("Counts (Normalized)")
             self._despine(ax)
             plt.title(f"ISI {cluster}")
             plt.tight_layout()
             plt.figure(dpi=self.dpi)
             plt.show()
 
+    def plot_event_isi(self):
+        try:
+            final_isi = self.data.isi
+        except AttributeError:
+            raise Exception("must run `compute_event_interspike_interval()")
+
+        for stimulus, isis in final_isi.items():
+            baseline = isis["bsl_isi"].sum(axis=1)
+            stimulus_isi = isis["isi"].sum(axis=1)
+            bins = isis["bins"]
+            for row in range(stimulus.shape[0]):
+                sub_bsl = baseline[row] / baseline[row].sum()
+                sub_stim_isi = stimulus_isi[row] / stimulus_isi[row].sum()
+
+                fig, ax = plt.subplots(figsize=self.figsize)
+                ax.stairs(sub_bsl, edges=bins, fill=True, color="k", alpha=0.7)
+                ax.stairs(sub_stim_isi, edges=bins, fill=True, color="r", alpha=0.7)
+                ax.set_xlabel("Time (ms)")
+                ax.set_ylabel("Counts (Normalized)")
+                self._despine(ax)
+                plt.title(f"isi vs bsl {stimulus}: {self.data.cluster_ids[row]}")
+                plt.tight_layout()
+                plt.figure(dpi=self.dpi)
+                plt.show()
+
     def plot_response_trace(
         self,
         type: Literal["zscore", "raw"] = "zscore",