Neural Code

Neural coding investigates how information is represented and processed by the activity of neurons. Current research focuses on understanding how neural codes adapt to dynamic stimuli, particularly in visual processing, using models like convolutional neural networks and vision transformers to analyze both biological and artificial neural networks. This work is crucial for advancing our understanding of brain function and for developing more efficient and robust artificial intelligence systems, including improved error-correction codes and more adaptable multi-task learning algorithms. Furthermore, research is exploring the use of optimization algorithms to analyze neural responses and uncover the underlying principles of neural coding.