Explores the selection and rationale behind preclinical animal models in drug discovery, emphasizing understanding mechanisms of action and domain specificity.
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores phase transitions in physics and computational problems, highlighting challenges faced by algorithms and the application of physics principles in understanding neural networks.