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What are we really decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention
Objective. Spatial auditory attention decoding (Sp-AAD) refers to the task of identifying the
direction of the speaker to which a person is attending in a multi-talker setting, based on the …
direction of the speaker to which a person is attending in a multi-talker setting, based on the …
Robust neural tracking of linguistic speech representations using a convolutional neural network
Objective. When listening to continuous speech, populations of neurons in the brain track
different features of the signal. Neural tracking can be measured by relating the …
different features of the signal. Neural tracking can be measured by relating the …
The role of vowel and consonant onsets in neural tracking of natural speech
Objective. To investigate how the auditory system processes natural speech, models have
been created to relate the electroencephalography (EEG) signal of a person listening to …
been created to relate the electroencephalography (EEG) signal of a person listening to …
Identifying temporal correlations between natural single-shot videos and EEG signals
Objective. Electroencephalography (EEG) is a widely used technology for recording brain
activity in brain-computer interface (BCI) research, where understanding the encoding …
activity in brain-computer interface (BCI) research, where understanding the encoding …
EEG-based decoding of the spatial focus of auditory attention in a multi-talker audiovisual experiment using Common Spatial Patterns
Objective. Auditory attention decoding (AAD) refers to the task of identifying which speaker a
person is listening to in a multi-talker setting, based on their neural recordings. The Common …
person is listening to in a multi-talker setting, based on their neural recordings. The Common …