Download results JSON · CSV · Experiment guide
| Zone | Observed occupancy, s | Confirmed entries | Entry latency, s |
|---|---|---|---|
| object-a | 0 | 0 | Not determined |
| object-b | 0 | 0 | Not determined |
| Zone | Start, s | End, s | Start not observed | End not observed |
|---|
| Observed state | Start, s | End, s |
|---|---|---|
| Stationary | 0 | 2.533 |
| Locomotion | 2.533 | 7.267 |
| Moving turn | 7.267 | 9.067 |
| Locomotion | 9.067 | 9.667 |
| Stationary | 9.667 | 11.867 |
| Rearing | 11.867 | 15.267 |
| Stationary | 15.267 | 18 |
| Start, s | Observed time, s | Travelled distance |
|---|---|---|
| 0 | 3 | 1.352 |
| 3 | 3 | 15.234 |
| 6 | 3 | 6.412 |
| 9 | 3 | 1.387 |
| 12 | 3 | 0.523 |
| 15 | 3 | 0.459 |
Automatic detection has been checked on synthetic recordings; accuracy on real mice still requires validation.
Measures describe observed behaviour. They do not establish a diagnosis, anxiety or memory impairment on their own.
The trajectory preview is simplified. Full coordinates and events remain in the JSON export.
Record habituation, familiarisation and test as separate phases. Mark the object approach regions and identify familiar and novel objects in the test. Automatic output is nose proximity directed toward the object, not proof of exploration. Review exploration intervals with a named reviewer to obtain (novel-familiar)/(novel+familiar). The index is withheld outside the test phase or below the saved minimum exploration time.
| Field | Value |
|---|---|
| acquisition | {"calibration_source":"synthetic_camera_floor_correspondences","camera_count":1,"camera_profile":"overhead","elevation_degrees":90.0} |
| analysis_definition_sha256 | b86543b7ef290c4a18d64b316b03c15a729eda8cd0a577c18c9f35a3bb348654 |
| application_version | Not determined |
| catalog_sha256 | 88deae353e4ec8f044a8dd61e45949985b1d8ffca1c6a1199d09d3d4224108da |
| config_sha256 | 0460a17eb39d7b546e53a94d7a9ed0609a89598ac77387bcebdac06e9f1f94dd |
| detector_sha256 | 01ae99a8dc8dbd7abb8c53f54d793ac951dca1780374651107b835391be29359 |
| input_sha256 | 10bb2d2506300bd664d28163143bd8e1e94920d73e57bcfc735c52891de2a741 |
| numeric_runtime | {"numpy":"2.2.6","opencv":"5.0.0","python":"3.10.11"} |
| paired_definition_sha256 | 5288855d2bf92cf789927baa8ee43f779d54d2e53c2b711828811b49387ff008 |
| pose_refiner_sha256 | 62b76293c755f6679c2aee6eabd5e9aaa815fe3ac890d9e9b0324be40e06e6f9 |
| provenance_authority | exporter_declared_not_independently_certified |
| recording_start | Not determined |
| runtime_sha256 | 485a710709e9ddfcf456eaafd1aa18b42e339984fbedb2192bc635758176da62 |
| scenario_id | mouse_behavior |
| scenario_version | 0.1.0 |
| segmentation_refiner_sha256 | faf6045aa2002b49b85ba6f9daa38893ab4b7fbf4549a6fdc2fbfca5d15d6c78 |
| source_video_sha256 | 460a0eb30a20bebeb4335fb32f27d291000e8f00ec67abd698980a1f5fd5f712 |