ndx-ethogram 0.1.0

NWB extension for behavioral bouts: labeled time intervals (one row per bout) from pose-estimation post-processing tools (VAME, keypoint-MoSeq, B-SOiD, DeepEthogram, SimBA), as a TimeIntervals subclass

ndx-ethogram Extension for NWB

An NWB extension for storing a curated, tool-agnostic ethogram as labeled behavioral bouts: one row per bout, where a bout is a continuous interval of a single behavior. EthogramBouts is a TimeIntervals subclass, so each row inherits start_time and stop_time and adds a single text label.

It is the downstream-oriented, lossy-by-design product of behavioral segmentation and classification tools. Named producers (DeepEthogram, SimBA, CalMS21, CRIM13) give the label a human-readable behavior name; integer-only unsupervised producers (VAME, keypoint-MoSeq, B-SOiD) give it the tool's own cluster id as text (e.g. "7"). Overlapping behaviors are simply overlapping rows. A tool's faithful native output (per-frame motif or syllable stream) lives in its own extension and is referenced through the generic source link, so this extension depends on no tool-specific extension.

Installation

pip install ndx-ethogram

Or from a clone of this repository:

pip install -e .

Usage

from datetime import datetime, timezone

from pynwb import NWBFile, NWBHDF5IO
from ndx_ethogram import EthogramBouts

nwbfile = NWBFile(
    session_description="social behavior session",
    identifier="session-001",
    session_start_time=datetime(2024, 1, 1, tzinfo=timezone.utc),
)

# One EthogramBouts table. `labeling_method` is required: "manual" (a human scored
# the video), "automated" (an algorithm), or "curated" (human-reviewed model output).
bouts = EthogramBouts(
    name="behavior_bouts",
    description="DeepEthogram behavior bouts",
    labeling_method="manual",
    source_software="DeepEthogram 0.1.4",   # optional
    annotator="lab annotator 1",            # optional
)

# One row per bout. `label` is the only added column (single required text column).
bouts.add_row(start_time=1.0, stop_time=2.5, label="grooming")
bouts.add_row(start_time=2.0, stop_time=3.0, label="rearing")   # overlap is allowed

behavior = nwbfile.create_processing_module("behavior", "behavioral bouts")
behavior.add(bouts)

with NWBHDF5IO("example.nwb", "w") as io:
    io.write(nwbfile)

Optional links

A EthogramBouts table can point at the objects it was derived from or aligns to, each optional:

• source_pose -> the upstream ndx-pose PoseEstimation (pose-based tools).
• source_video -> the behavioral video ImageSeries the bouts align to.
• source -> the producing faithful object (e.g. a per-frame motif/syllable TimeSeries or a tool-specific container); a generic NWBDataInterface target so this extension stays tool-agnostic.
• observation_intervals -> a core TimeIntervals marking the spans over which the labels were assessed, for partial-coverage inputs. Within them, absence of a bout means the behavior was absent; outside, it was unobserved. Omit when assessed throughout.

bouts.source_pose = pose_estimation     # an ndx_pose.PoseEstimation
bouts.source_video = behavior_video     # a pynwb.image.ImageSeries

Attributes and columns at a glance

Field	Kind	Required	Meaning
start_time, stop_time	column (float, s)	yes (inherited)	the bout span
label	column (text)	yes	the bout's behavior / motif / cluster identity
labeling_method	attribute	yes	manual, automated, or curated
source_software	attribute	no	producing tool and version
annotator	attribute	no	human or lab who produced manual/curated labels
parameters	attribute	no	JSON-encoded key hyperparameters
source	link	no	the faithful producing object
source_pose	link	no	upstream PoseEstimation
source_video	link	no	the behavioral video ImageSeries
observation_intervals	link	no	spans over which labels were assessed

Only durative (state) behaviors belong here; instantaneous point behaviors belong in an EventsTable.

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This extension was created using ndx-template.