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.
Posts by Tags
Domain Adaptation
EEG
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.
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.
Energy Distance
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.
FastICA
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.
Hidden Markov Model
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.
ICA
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.
Information Theory
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.
Linear Algebra
Mathematical Derivation: PCA Whitening Implementation
Published:
A deep dive into the PCA whitening algorithm implemented in the eegwhiten package.
Mathematical Derivation: Cholesky Whitening Implementation
Published:
Efficient whitening using Cholesky decomposition 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.
MEG
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.
MMD
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.
Multilinear ICA
From Matrix ICA to Tensor ICA: Architectures and Decomposition Choices
Published:
A concise bridge from classical ICA to multilinear/tensor ICA design choices.
R
Mathematical Derivation: PCA Whitening Implementation
Published:
A deep dive into the PCA whitening algorithm implemented in the eegwhiten package.
Mathematical Derivation: Cholesky Whitening Implementation
Published:
Efficient whitening using Cholesky decomposition 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.
Signal Processing
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.
Mathematical Derivation: PCA Whitening Implementation
Published:
A deep dive into the PCA whitening algorithm implemented in the eegwhiten package.
Mathematical Derivation: Cholesky Whitening Implementation
Published:
Efficient whitening using Cholesky decomposition 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.
Speech Decoding
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.
State Space Model
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.
Tensor Decomposition
From Matrix ICA to Tensor ICA: Architectures and Decomposition Choices
Published:
A concise bridge from classical ICA to multilinear/tensor ICA design choices.
Tensor ICA
From Matrix ICA to Tensor ICA: Architectures and Decomposition Choices
Published:
A concise bridge from classical ICA to multilinear/tensor ICA design choices.
Tucker
From Matrix ICA to Tensor ICA: Architectures and Decomposition Choices
Published:
A concise bridge from classical ICA to multilinear/tensor ICA design choices.
Wasserstein
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.
Whitening
Mathematical Derivation: PCA Whitening Implementation
Published:
A deep dive into the PCA whitening algorithm implemented in the eegwhiten package.
Mathematical Derivation: Cholesky Whitening Implementation
Published:
Efficient whitening using Cholesky decomposition 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.