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 Long Tao et al., unpublished.
Pipeline to analyze and generate figures from rodent EEGs
Python library with ready-to-run battery models (SPM, P2D) and material properties (NMC, LFP, graphite)
A Python package for electrophysiology data conversion, preprocessing, and postprocessing
Batch processing toolbox for spectral analysis of EEG/LFP data
Local-first web app for LFP-only neural representation inference and reference spike-activity decoding with a locked pretrained model, 256D features, UMAP visualization, and no data upload.
GPU-accelerated electrophysiology (EEG, iEEG, LFP) transforms for large batch jobs.
Evidence-first long-horizon SOH digital twin for LFP energy storage
Self-calibrating Dual Extended Kalman Filter (DEKF) state-of-charge estimator for LFP home batteries — AppDaemon apps for Home Assistant
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