Machine Learning (Decoding, Encoding, and MVPA)

Decoding, encoding, and general machine learning examples.

Motor imagery decoding from EEG data using the Common Spatial Pattern (CSP)

Motor imagery decoding from EEG data using the Common Spatial Pattern (CSP)

Decoding in time-frequency space using Common Spatial Patterns (CSP)

Decoding in time-frequency space using Common Spatial Patterns (CSP)

Representational Similarity Analysis

Representational Similarity Analysis

Decoding source space data

Decoding source space data

Continuous Target Decoding with SPoC

Continuous Target Decoding with SPoC

Decoding sensor space data with generalization across time and conditions

Decoding sensor space data with generalization across time and conditions

Analysis of evoked response using ICA and PCA reduction techniques

Analysis of evoked response using ICA and PCA reduction techniques

XDAWN Decoding From EEG data

XDAWN Decoding From EEG data

Compute effect-matched-spatial filtering (EMS)

Compute effect-matched-spatial filtering (EMS)

Linear classifier on sensor data with plot patterns and filters

Linear classifier on sensor data with plot patterns and filters

Receptive Field Estimation and Prediction

Receptive Field Estimation and Prediction

Compute Spectro-Spatial Decomposition (SSD) spatial filters

Compute Spectro-Spatial Decomposition (SSD) spatial filters

previous

Analysing continuous features with binning and regression in sensor space

next

Motor imagery decoding from EEG data using the Common Spatial Pattern (CSP)