Mouse brain state classification dataset
<p>Data was collected from electrophysiological recordings of brain activity and behaviour in freely-moving mice. Brain electrical signals were recorded from micro-wire bundles implanted in the hippocampus. Behavioral data were collected from an accelerometer incorporated in the head-stage pre-amplifier of the electrophysiological setup. Since the head-stage was connected to the implant during recordings, the accelerometer captures the head movements (instantaneous accelerations).</p> <p>Each instance, representing a time point where the brain state has to be classified, contains two types of inputs:</p> <p>- A power spectrogram of the local field potential (LFP, representing local electrical actifity) around the time point to classify (+- 50 s).</p> <p>- A segment of the movement magnitude time series, extracted from an accelerometer on the mouse head.</p> <p>Each brain state is associated with a particular combination of patterns of LFP power and movement, allowing classification.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4