Andrew Thwaites

Deep-layer cortical tracking abruptly collapses in the absence of language comprehension

The paper tracks cortical computations during speech processing using a language model and MEG, finding comprehension sustains alignment in deep layers while acoustic processing remains unchanged without comprehension.

On the similarities of representations in artificial and brain neural networks for speech recognition

This study compares speech recognition representations in artificial neural networks and human brains, finding similarities and using brain data to improve machine models.

Relating dynamic brain states to dynamic machine states: human and machine solutions to the speech recognition problem

This paper compares dynamic brain states during speech comprehension with dynamic machine states in ASR systems, finding correspondence between neural patterns and phonetic models.