Merge pull request #378 from duodenum96/main

voytek · web-flow · commit 24b74ca8c885 · 2025-11-20T13:42:51.000-08:00
fix for `plot_aperiodic_params.py`
diff --git a/examples/models/plot_aperiodic_params.py b/examples/models/plot_aperiodic_params.py
@@ -169,11 +169,11 @@
 # to the auto-correlation function, and from there to the empirical time constant of the data.
 #
 # The :func:`~.compute_time_constant` function can be used to compute the knee-derived
-# time constant.
+# time constant. It takes the knee frequency as the input and calculates the time constant from it.
 #
 
 ###################################################################################################
 
 # Compute the characteristic time constant of a knee value
-time_constant = compute_time_constant(fm.get_params('aperiodic', 'knee'))
+time_constant = compute_time_constant(knee_frequency)
 print('Knee derived time constant: ', time_constant)

Original file line number	Diff line number	Diff line change
`@@ -169,11 +169,11 @@`
`169`	`169`	`# to the auto-correlation function, and from there to the empirical time constant of the data.`
`170`	`170`	`#`
`171`	`171`	# The :func:`~.compute_time_constant` function can be used to compute the knee-derived
`172`		`-# time constant.`
	`172`	`+# time constant. It takes the knee frequency as the input and calculates the time constant from it.`
`173`	`173`	`#`
`174`	`174`
`175`	`175`	`###################################################################################################`
`176`	`176`
`177`	`177`	`# Compute the characteristic time constant of a knee value`
`178`		`-time_constant = compute_time_constant(fm.get_params('aperiodic', 'knee'))`
	`178`	`+time_constant = compute_time_constant(knee_frequency)`
`179`	`179`	`print('Knee derived time constant: ', time_constant)`