Temporal Alignment

src/schneider_lab_to_nwb/zempolich_2024/zempolich_2024_nwbconverter.py

@@ -1,4 +1,6 @@
 """Primary NWBConverter class for this dataset."""
+from pathlib import Path
+from pymatreader import read_mat
 from neuroconv import NWBConverter
 from neuroconv.datainterfaces import (
     PhySortingInterface,
@@ -25,3 +27,17 @@ class Zempolich2024NWBConverter(NWBConverter):
         Optogenetic=Zempolich2024OptogeneticInterface,
         ISOI=Zempolich2024IntrinsicSignalOpticalImagingInterface,
     )
+
+    def temporally_align_data_interfaces(self):
+        """Align timestamps between data interfaces.
+
+        It is called by run_conversion() after the data interfaces have been initialized but before the data is added
+        to the NWB file.
+        In its current implementation, this method aligns timestamps between the behavior and video data interfaces.
+        """
+        behavior_interface = self.data_interface_objects["Behavior"]
+        behavior_file_path = Path(behavior_interface.source_data["file_path"])
+        file = read_mat(behavior_file_path)
+        cam1_timestamps, cam2_timestamps = file["continuous"]["cam"]["time"]
+        self.data_interface_objects["VideoCamera1"].set_aligned_timestamps([cam1_timestamps])
+        self.data_interface_objects["VideoCamera2"].set_aligned_timestamps([cam2_timestamps])