Surface potential recordings from rat brainstem dorsal column nuclei in response to tactile and proprioceptive stimuli

Description

The raw data are electrical signals recorded from the surface of rat brainstem using a 7-electrode surface array. Rats were urethane anaesthetised and 4 different tactile and proprioceptive stimuli were applied to each of the four limbs while the electrical brainstem signals were simultaneously recorded. Twenty-eight different types of signal features were quantified from these recordings and stored in matrices that can be used as inputs for machine-learning. The features were quantified from 17 different time windows ranging from 20 ms to 1000 ms in length. In total, there is data from six rats (n = 6). For more details and the analysis and discussion of this dataset, see the paper at doi: https://doi.org/10.1101/831164

Keywords

References

• Alastair J Loutit, Jason R Potas (2020). Novel neural signal features permit robust machine-learning of natural tactile- and proprioception-dominated dorsal column nuclei signals. bioRxiv 831164 https://doi.org/10.1101/831164

Funding

• Bootes Medical Research Foundation

Citation