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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

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