150 numerical categories represent extracellular voltage sampled at 30 kHz over 5 milliseconds. The data likely contains normalized voltage traces from neuronal spikes, intended for cell type identification. The dataset is hosted on OpenML under a CC-BY-4.0 license.
Use Cases
- Classify neuronal cell types based on spike waveform morphology mentioned in the description
- Train models for spike detection and feature extraction from normalized voltage traces
- Analyze the relationship between spike shape and neuron morphology as referenced in the literature
Strengths
- The description specifies 150 numerical categories (columns) for each waveform.
- Data is normalized to the minimal voltage (through), a specific preprocessing step described.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Collection Method
- Likely gathered from electrophysiological recordings of neuronal activity.