Neuron Model Parameters for Optimal Control of Leech P-Cell Stimulation

A set of parameters for a reduced second-order neuron conductance model used in an optimal control study. The dataset, 5.5 KB in size, was authored by Alexandra C. Ferguson and shared on figshare under a CC-BY-4.0 license. It was last updated on 2026-04-29.

Use Cases

• Simulating neuron responses to optimal current stimuli based on the described conductance model.
• Testing control strategies for action potential tracking based on the bifurcation parameters.
• Analyzing the relationship between stimulus energy reduction and tracking performance in biological neurons.
• Investigating phase space separatrices in neuron dynamics based on the model's sensitivity to current shape.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Model parameters are explicitly linked to a published proof-of-concept study on optimal control theory.
• The dataset has a clear, permissive license (CC-BY-4.0).

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• The model parameters were not fit to the target P-cell but selected based on an assumed bifurcation.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare, author Alexandra C. Ferguson

Collection Method

Derived from an optimal control theory application to intracellular stimulation of leech neurons.

Freshness

Last updated 2026-04-29 17:51:39; freshness should be verified.