neuromodulation/py_neuromodulation
Real-time analysis of intracranial neurophysiology recordings.
This tool helps neuroscientists and researchers streamline the real-time analysis of brain signals from intracranial recordings. You input raw neural time series data along with its sampling frequency, and it outputs a structured table of time-resolved neurophysiological features. This is ideal for researchers working with brain implants who need to extract meaningful patterns from neural activity for applications like movement decoding.
Available on PyPI.
Use this if you are a neuroscientist analyzing intracranial neural time series data and need to extract established neurophysiological features efficiently.
Not ideal if your primary goal is to analyze non-neural biological signals or if you do not have time series data with a defined sampling frequency.
Stars
74
Forks
19
Language
Python
License
MIT
Category
Last pushed
Feb 04, 2026
Commits (30d)
0
Dependencies
31
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