Published April 11, 2023 | Version 1.0
Dataset Open

Mouse brain state classification dataset

Authors/Creators

  • 1. LMU

Description

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).

Each instance, representing a time point where the brain state has to be classified, contains two types of inputs:

- A power spectrogram of the local field potential (LFP, representing local electrical actifity) around the time point to classify (+- 50 s).

- A segment of the movement magnitude time series, extracted from an accelerometer on the mouse head.

Each brain state is associated with a particular combination of patterns of LFP power and movement, allowing classification.

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