By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores miniaturized CMOS interfaces for neural recording and discusses spatial and temporal resolution, spike sorting, and wireless neural-interface-on-chip systems.
Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.
Explores the mechanical and electrical properties of neural tissues, including the brain and spinal cord, as well as the recording of neural signals using various techniques.
