By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Explores the Monte Carlo method for thermal radiation, covering radiative energy bundles, flux, surface relations, view factors, and radiative exchange computation.
Explores the evolution of hardware/software co-design, emphasizing the importance of specialization and the challenges of optimizing performance and energy efficiency.
