Speech Science Forum -- Andrew Thwaites

Language comprehension is a complex cognitive process, and modelling it accurately has long been a challenge. The advent of modern Artificial Neural Networks (ANNs), capable of transcribing speech and other stimuli with human-level accuracy, provides researchers with the opportunity to compare the these models with neural processing, a topic known as ANN-brain alignment.

This talk will explore methods for assessing the alignment between ANNs trained for spoken language comprehension and neural activity, with a focus on magnetoencephalography (MEG) and electroencephalography (EEG) data. It will cover both neuroimaging methods and insights into artificial and biological language processing mechanisms.

zoom link : https://ucl.zoom.us/j/92052680901