By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
By Tatjana Tchumatchenko explores dynamical response functions in neuroscience, emphasizing the role of linear response functions in understanding neural activity.
Explores the future of computing, including the impact of Moore's law, differences between CPUs and GPUs, and the evolution of conventional and neuromorphic hardware.
