Neural Signals and Signal Processing

This lecture covers the fundamentals of neural signals and signal processing, focusing on the importance of modeling in understanding neural phenomena. It discusses the types of models used, such as conceptual, computational, and surrogate models, and their applications in experimental design and data analysis. The lecture also delves into the structure and divisions of the nervous system, the organization of the cortex, and the classification of nerve fibers. Additionally, it explores topics like neuron morphology, action potential propagation, and the generation of electrical signals from the nervous system.