By performing a molecular and neural network analysis across behaviorally divergent pair bonding species, Dr. Jessica Nowicki will use the power of comparative analysis to reveal core mechanisms that regulate pair bonding.
Dr. Daniel Bear propose to augment state-of-the-art neural networks with two biologically-inspired properties: the ability to represent the physical world as it changes over time and the ability to learn from self-created signals rather than explicit human instruction.
Dr. Darian Hadjiabadi aims to identify higher-order features of neuronal circuits responsible for seizure initiation and propagation by quantifying mesoscale-network reorganization in genetic models of zebra sh that faithfully recapitulate seizure dynamics in humans.
Investigating how the brain develops from infancy to adulthood across species, focusing on how the interplay between structural development, functional development, experience and affect brain computations and ultimately behavior.
Creating new tools to help neuroscientists bridge the study of genes and proteins operating in the brain to the study of brain circuits and systems, which could lead to a deeper understanding of brain function and disease.