Model Parameters for Computational Neuroscience: Intrinsic Properties and Conductances

A 5.5 KB Excel file containing intrinsic properties for a computational neuroscience model. The dataset includes membrane properties, reversal potentials, and ionic conductances, with complete parameters and references provided in an associated S2 Table. It was authored by Mehdi Borjkhani and last updated on June 1, 2026.

Use Cases

• Calibrating neuron simulation models based on the provided membrane properties.
• Validating model behavior against established reversal potentials.
• Analyzing the role of specific ionic conductances in neuronal excitability.
• Reproducing computational experiments using the fully referenced parameter set.

Strengths

• All parameters are accompanied by full references, as noted in the description.
• The dataset is small (5.5 KB), ensuring fast download and easy inspection.
• It is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-06-01 17:39:09; freshness should be verified.