CFA - Cycle-Frequency Analysis
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This project proposes a modification of conventional Time-Frequency Analysis (TFA) to improve the study of cycle-locked event-related potentials. While TFA is a common technique for characterizing spectral changes in neural activity, it has limitations when the event-related activity is cyclic rather than time-locked. This modification aims to address these limitations and enhance our understanding of cyclic neural processes, such as the cortical activity elicited by breathing.
The paper associated to this research can be found here: https://www.biorxiv.org/content/10.1101/2024.03.15.585182v1