By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Delves into the neural control of movement, focusing on spinal motor neurons and motor units, exploring techniques like EMG recordings and wearable neural interfaces.
Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Explores neural networks' ability to learn features and make linear predictions, emphasizing the importance of data quantity for effective performance.