Spike-waveforms
OpenML dataset with id 43650
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Full work available at URL: https://api.openml.org/data/v1/download/22102475/Spike-waveforms.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 151 (numeric: 150, symbolic: 0 and in total binary: 0 )
Number of instances: 741
Number of instances with missing values: 0
Number of missing values: 0
Introduction Neurons in the brain use electrical signals communication. Different spike waveforms correspond to different cell types or different neuron morphologies (Henze et al., J. Neurophysiol. 2000). In learning about different spike waveforms, we may identify different neuronal types in our sample. Content
The data contains 150 numerical categories (0 to 149, in columns) corresponding to the sampling of a 5-millisecond extracellular voltage at 30 kHz. Since the extracellular voltage amplitude related to the squared of the distance to the cell, we normalize the whole trace to the minimal voltage (through) that corresponds to the peak of the spike. To load it in Python. import pandas as pd waveforms = pd.read_csv('waveforms.csv', index_col = 'uid') waveforms.info() waveforms.iloc[0, :-1,].plot() plot the first waveform (last column is organoid)
To know more
For more information visiy my GitHub repository
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