Iliski

Iliski computes transfer functions (TFs) between biological signals to model and quantify dynamic interactions in physiological systems.

Key Features:

• Transfer Function Computation: Calculates TFs between two signals to quantify dynamic relationships.
• Pre-treatment Routines: Implements pre-treatment routines to prepare data for TF computation.
• Optimization Algorithms: Provides deterministic and non-deterministic optimization algorithms for fitting TF models.
• Deconvolution Techniques: Includes deconvolution techniques to resolve overlapping or complex signal components.
• Structured Workflow: Offers a structured workflow to guide selection of the most appropriate computation method based on dataset characteristics.

Scientific Applications:

• Neurovascular coupling: Applied to analyze relationships between neuronal activity and local blood flow changes.

Methodology:

Computational methods explicitly include pre-treatment routines, transfer function computation between two signals, deconvolution techniques, and parameter estimation via deterministic and non-deterministic optimization within a structured workflow for method selection.