Neural Response

Neural response research focuses on understanding how the brain processes information by analyzing its electrical and chemical activity in response to various stimuli. Current investigations leverage deep learning models, including transformers and recurrent neural networks, to predict and simulate neural responses to diverse inputs like visual images, music, and language, often comparing model representations to brain imaging data. This work aims to improve our understanding of brain function, refine computational models of neural processes, and potentially inform the development of advanced technologies such as brain-computer interfaces and improved assistive hearing devices.