Different feature sets are extracted through domain-agnostic dimension reduction as well as through spike approaches, using the raw waveform and computed features on the waveforms. The feature sets include methodologies, such as principal component analysis (PCA) and the features from the spike sorting approach based on shape, phase, and distribution features (SS-SPDF) by Caro-Martín et al. [11].
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https://figshare.com/articles/dataset/Different_feature_sets_are_extracted_through_domain-agnostic_dimension_reduction_as_well_as_through_spike_approaches_using_the_raw_waveform_and_computed_features_on_the_waveforms_The_feature_sets_include_methodologies_such_as_principal_comp/30220646
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Different feature sets are extracted through domain-agnostic dimension reduction as well as through spike approaches, using the raw waveform and computed features on the waveforms. The feature sets include methodologies, such as principal component analysis (PCA) and the features from the spike sorting approach based on shape, phase, and distribution features (SS-SPDF) by Caro-Martín et al. [11].
创建时间：
2025-09-26
