diff --git a/support_code/behavior_summaries.R b/support_code/behavior_summaries.R
index b33a450..6891d7f 100644
--- a/support_code/behavior_summaries.R
+++ b/support_code/behavior_summaries.R
@@ -29,7 +29,7 @@ data_agg <- lapply(seq_along(row_num), function(x) {
     tmp <- data |> group_by(MouseID) |> filter(row_number() <= row_num[x])
     tmpsum <- rowsum(tmp[,sapply(tmp, is.numeric)], tmp$MouseID)
     
-    tmpsum <- tmpsum |> mutate(!!paste0("bin_avg_", row_num[x]*5, ".", behavior, "_time_secs") := get(paste0(behavior, "_time_behavior"))/(get(paste0(behavior, "_time_behavior")) + get(paste0(behavior, "_time_not_behavior")))*row_num[x]*5, !!paste0("bin_avg_", row_num[x]*5, ".", behavior, "_distance_cm") := get(paste0(behavior, "_behavior_dist"))/(row_num[x]*5))
+    tmpsum <- tmpsum |> mutate(!!paste0("bin_avg_", row_num[x]*5, ".", behavior, "_time_min") := get(paste0(behavior, "_time_behavior"))/(get(paste0(behavior, "_time_behavior")) + get(paste0(behavior, "_time_not_behavior")))*row_num[x]*5, !!paste0("bin_avg_", row_num[x]*5, ".", behavior, "_distance_cm") := get(paste0(behavior, "_behavior_dist"))/(row_num[x]*5))
     
     tmpsum$MouseID <- rownames(tmpsum)
     tmpsum <- tmpsum |> select(!all_of(cols_to_exclude))
diff --git a/support_code/behavior_summaries.py b/support_code/behavior_summaries.py
index a24a26f..a178ddd 100644
--- a/support_code/behavior_summaries.py
+++ b/support_code/behavior_summaries.py
@@ -141,9 +141,9 @@ def aggregate_data_by_bin_size(
     behavior_dist_col = f"{behavior}_behavior_dist"
     behavior_bout_col = f"{behavior}_bout_behavior"
 
-    # Calculate time spent in behavior
+    # Calculate time spent in behavior (in minutes)
     # TODO: Do we need to make `5` a configurable parameter?
-    aggregated[f"bin_sum_{bin_size * 5}.{behavior}_time_secs"] = (
+    aggregated[f"bin_sum_{bin_size * 5}.{behavior}_time_min"] = (
         aggregated[time_behavior_col]
         / (aggregated[time_behavior_col] + aggregated[time_not_behavior_col])
         * bin_size