By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores the biophysical understanding of neuronal electrical behavior, including challenges in modeling neurons, the generation of action potentials, and the impact of dendritic structure on firing patterns.
