RealFeedApp The proposed LFPCA method scales to densely sampled datasets
The method accelerates computations by orders of magnitude while maintaining accuracy, and is applied to model neuronal firing rates during deep brain stimulation.
- Field
- the brain and neuroscience
- What they did
- Developed a new method for analyzing neuronal activity data that is thousands of times faster than existing approaches while maintaining similar accuracy. The method allows processing large datasets of spontaneous neuronal firing rates obtained during deep brain stimulation.
- Why it matters
- This simplifies and accelerates the study of how brain stimulation affects neuronal activity in humans, enabling analysis of larger and more detailed datasets.
#functional principal components#longitudinal analysis#neuronal dynamics#deep brain stimulation
