Parameterizing neural power spectra into periodic & aperiodic components.
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Updated
May 8, 2026 - Python
Parameterizing neural power spectra into periodic & aperiodic components.
A semi-latent state-space model that combines movement, LFP, and ensemble spiking information to identify periods of replay and decode its content in real time. Long Tao et al., unpublished.
Python library with ready-to-run battery models (SPM, P2D) and material properties (NMC, LFP, graphite)
Pipeline to analyze and generate figures from rodent EEGs
A Python package for electrophysiology data conversion, preprocessing, and postprocessing
Batch processing toolbox for spectral analysis of EEG/LFP data
GPU-accelerated electrophysiology (EEG, iEEG, LFP) transforms for large batch jobs.
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