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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Yiming Shen
EEG/BCI data scientist building methods and software for reliable decoding under session drift.
Posts
Research Note: Markov-Switching State-Space Models for Neural Decoding
Published:
A working note on using regime-switching linear state-space models for non-invasive brain-signal decoding.
When Domain Adaptation Helps and When It Fails
Published:
A direct guide to reading when EEG domain adaptation is useful and when it causes negative transfer.
Practical Guide: Distribution Distance Metrics for EEG Domain Adaptation
Published:
A practical note on Wasserstein, MMD, and Energy Distance for quantifying session-to-session shift in EEG pipelines.
Multi-Source Domain Adaptation for EEG Sessions
Published:
A practical view of how multiple source sessions can help or hurt cross-session EEG transfer.
From Matrix ICA to Tensor ICA: Architectures and Decomposition Choices
Published:
A concise bridge from classical ICA to multilinear/tensor ICA design choices.
What CORAL, SA, TCA, and OT Actually Align
Published:
A plain comparison of four domain-adaptation methods through the object each method tries to align.
ICA Objective Functions in One Place: Kurtosis, Negentropy, MI, and MLE
Published:
A compact map of the main ICA objective functions and their algorithmic implications.
Covariance Features and Tangent-Space Mapping
Published:
A simple explanation of why EEG covariance matrices are useful features and how tangent-space mapping makes them usable by standard classifiers.
CSP and FBCSP for Motor-Imagery EEG
Published:
A direct walkthrough of how CSP and filter-bank CSP turn motor-imagery EEG trials into classifier features.
Mathematical Derivation: Cholesky Whitening Implementation
Published:
Efficient whitening using Cholesky decomposition in the eegwhiten package.
Train/Test-Safe EEG Feature Extraction
Published:
A plain guide to fitting EEG feature extractors without leaking test information.
Mathematical Derivation: PCA Whitening Implementation
Published:
A deep dive into the PCA whitening algorithm implemented in the eegwhiten package.
Mathematical Derivation: ZCA Whitening Implementation
Published:
Understanding Zero-phase Component Analysis (ZCA) whitening in eegwhiten.
Mathematical Derivation: SVD Whitening Implementation
Published:
Using Singular Value Decomposition (SVD) for robust whitening in eegwhiten.
portfolio
R Package: eegwhiten
Milestone:
R Package Developer
Whitening and covariance-alignment tools for EEG features, with reusable fit/transform models, shrinkage, robust covariance estimators, Euclidean alignment, and tangent-space utilities.
R Package: DA4BCI
Milestone:
R Package Developer
A unified R framework for EEG/BCI domain adaptation, including TCA, SA, CORAL, GFK, MIDA, Riemannian transport, optimal transport, and shift metrics.
R Package: BCIFeatR
Milestone:
R Package Developer
A train/test-safe EEG feature extraction toolkit for BCI pipelines, including CSP/FBCSP, tangent-space covariance features, bandpower, Hjorth, ATM, MVAR, and MSVAR features.
R Package: TensorEEG
Milestone:
R Package Developer
A physics-constrained EEG simulator and covariance-aware augmentation audit package for cross-session BCI research.
Kaggle Silver Medal: HMS - Harmful Brain Activity Classification
Milestone:
Rank: 98/2767 (Top 4%) | Silver Medal
Developed a deep learning pipeline using EfficientNet and Weighted Ensembling to classify seizures and harmful brain patterns from EEG signals.
Python Package: DA4BCI-Python
Milestone:
Python Package Developer
Python implementation of DA4BCI, providing EEG/BCI domain adaptation methods, shift metrics, SPD geometry tools, Page-Hinkley drift detection, and plotting utilities.
Python Package: TensorEEG-py
Milestone:
Python Package Developer
Python port of TensorEEG for physics-constrained EEG simulation, SPD covariance augmentation, fidelity auditing, and manifest replay.
Python Package: CrossDA
Milestone:
Python Package Developer
A cross-session EEG classification runner for MAP, DWP, MMP, and BDP domain-adaptation pipelines.
Web App: MSDA-Bench
Milestone:
Dashboard Developer
A Streamlit dashboard for comparing multi-source domain adaptation strategies in cross-session EEG classification.
Web App: ShiftDx
Milestone:
Dashboard Developer
A Streamlit dashboard for diagnosing MI-EEG session drift, domain-adaptation benefit, retraining gaps, and online drift triggers.
Desktop App: NeuroStream
Milestone:
Application Developer
A pseudo-online BCI motor imagery replay application with four selectable pipelines (CSP, FBCSP, TS+LDA, TS+SVM), Euclidean Alignment, and live performance visualization.
Web App: ShiftLens
Milestone:
Application Developer
A dependency-free browser visualizer for understanding how domain adaptation methods move source and target distributions.
research
Cross-Session BCI Transfer: A Matched Comparison of Global and Selective Pooling
Manuscript under review
A matched comparison of global vs. selective source-session pooling strategies for cross-session EEG transfer, with confidence-interval gating for robust strategy selection.
Drift-Feature-Performance Decomposition in MI-EEG via Structured Geometric Modeling
Manuscript under review
A geometric framework that diagnoses BCI performance degradation by separating signal drift into raw sensor variability and feature-space distortions.
Balancing Performance and Stability in Motor Imagery EEG Decoding: A Linear-First Approach
Manuscript under review
Proposing a ‘Linear-First’ decision rule using Paired Non-Inferiority Tests (TOST) to balance decoding accuracy against computational cost.
Tensor Multiple Canonical Correlation Analysis (TMCCA): A Framework for Multi-View High-Dimensional Data Integration
Manuscript in preparation
A tensor-based statistical framework extending MCCA to high-dimensional datasets, preserving structural information in multi-view neuroimaging analysis.
talks
Benchmarking Classification Pipelines Within and Across Sessions on the PhysioNet EEG Dataset
Published:
Authors: Yiming Shen, David Degras (University of Massachusetts Boston)
Cross-Session BCI Transfer: A Matched Comparison of Global and Selective Pooling
Published:
Authors: Yiming Shen, David Degras (University of Massachusetts Boston)