STG Neuron Dataset: Auxiliary Regression Performance Metrics

Auxiliary regression performance metrics for the STG neuron dataset, showing mean absolute error values lower than inherent dataset variability. The dataset includes descriptors for spike and burst frequencies, duration, and spike counts. It is a 5.5 KB Excel file authored by Julien Brandoit and last updated on May 21, 2026.

Use Cases

• Benchmarking regression model performance on electrophysiological data based on reported mean absolute error.
• Analyzing neuron firing patterns based on descriptors for mean spike frequency and intra-/inter-burst frequencies.
• Studying burst dynamics in neurons based on features for burst duration and mean number of spikes per burst.

Strengths

• Mean absolute error values for auxiliary regression tasks are reported to be substantially lower than the inherent dataset variability.
• The dataset is openly licensed under CC-BY-4.0.
• File size is precisely 5.5 KB.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Julien Brandoit

Freshness

Last updated 2026-05-21 17:41:45; freshness should be verified.