Motivations¶
This section explores conceptual and methodological ideas that motivate parameterizing neural power spectra.
Using code examples, topics are organized into:
conceptual points about approaches for analyzing neural data and related topics in digital signal processing
methodological points investigating if and how current approaches may conflate different aspects of the data
These examples can be explored in any order.
Concepts¶
This section seeks to motivate the idea of conceptualizing neural data as being comprised of both periodic and aperiodic activity.
In particular, these examples investigate how the notion of different components in neural data relates to practices in digital signal processing, and why this motivates approaches such as parameterizing neural power spectra.
Finding ‘Oscillations’ With Filters
Measurements¶
This section compares how existing approaches relate and compare to parameterizing neural power spectra.
In particular, these examples investigate how various methods work in the context of conceptualize neural time series as a combination of periodic and aperiodic activity.
Conflating Periodic & Aperiodic Changes