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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.
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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.
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The features were quantified from 17 different time windows ranging from 20 ms to 1000 ms in length.
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The features were quantified from 17 different time windows ranging from 20 ms to 1000 ms in length.
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In total, there is data from six rats (n = 6).
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In total, there is data from six rats (n = 6).
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For more details and the analysis and discussion of this dataset, see the paper at
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For more details and the analysis and discussion of this dataset, see the paper at
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- doi: https://doi.org/10.1101/831164
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+ doi: 10.3389/fnsys.2020.00046
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