Brain Response

Brain response research focuses on understanding how the brain processes various stimuli, aiming to decode neural activity patterns and relate them to cognitive processes and external inputs. Current research heavily utilizes deep learning models, including convolutional neural networks and vision transformers, to analyze neuroimaging data (EEG, MEG, fMRI) and predict brain responses to visual, auditory, and linguistic stimuli. This work is significant for advancing our understanding of brain function, improving diagnostic tools for neurological disorders like aphasia, and enabling the development of more sophisticated brain-computer interfaces.