spectral_connectivity.statistics

Statistical procedures for connectivity analysis.

This module provides statistical functions for testing significance of connectivity measures, including multiple comparison corrections and transforms for coherence-based measures. Functions support both parametric and non-parametric approaches for statistical inference in frequency domain connectivity analysis.

Functions

Benjamini_Hochberg_procedure	Control false discovery rate using Benjamini-Hochberg procedure.
Bonferroni_correction	Control family-wise error rate using Bonferroni correction.
adjust_for_multiple_comparisons	Apply multiple comparison correction to p-values.
coherence_bias	Estimate bias correction for coherence estimates.
coherence_fisher_z_transform	Transform coherence magnitude to approximately normal distribution.
coherence_rate_adjustment	Adjust spike-field coherence for different firing rates between conditions.
get_normal_distribution_p_values	Compute p-values for normal distribution test.
power_bias	Bias of the power spectrum.
power_confidence_intervals	Compute confidence intervals for multitaper power spectrum estimates.
power_fisher_z_transform	Transform power spectrum estimates for statistical testing.
power_variance	Compute variance of log-power spectrum estimates.