design-zeng

Gauging-beta: Border-aware hierarchical clustering based on density and proximity

EEG Nonlinear Feature Extraction Pipeline – Python re-implementation of Nonlinear_Analysis.m for extracting 17 nonlinear EEG features (5 active). Supports multiprocessing, multithreading, memory-aware caching, and .mat/.json outputs.

A Non-parametric Hierarchical Clustering Algorithm

This is the work for mesh generation method using reinforcement learning methods.

EEG spectral analysis toolkit for task‑centric JSON inputs. Computes Welch PSD and common spectral metrics (band powers, entropy, spectral moments, SEF95, median frequency, IAF, FAA).

EEG microstate analysis toolkit with modular pipelines (individual→runs→subjects→conditions), Typer CLI, and GUI-friendly subprocess.