Filtering

The filtering module in the spikify library is designed to mimic natural filtering mechanisms found in biological systems, offering advanced pre-processing techniques for time-varying signals.

Filtering Techniques

In spikify, the filtering approach includes:

• Frequency Decomposition: The filtering techniques break down time-varying signals into multiple frequency components.

• Advanced Filters: Techniques such as Gammatone and Butterworth filters are used to split the signal into different channels, each corresponding to a specific frequency range.

Note

The filtering module is currently under development and will be released in the upcoming version of the spikify library. Stay tuned for updates on the release schedule and new features.