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.
The project aims to alleviate this bottleneck by developing a weak supervision system that optimally deals with time-series data and takes advantage of multiple data modalities.
Yi Lui's project aims to use deep brain microstimulation (DBMS), which causes even less brain damage and has higher spatial resolution than DBS, for memory recovery.
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.
Building a pipeline to explore chemicals synthesized in plants as potential new treatments for neurological disease and as a window into the chemistry of the brain.
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.
Developing brain organoids – three dimensional brain tissues grown in the lab – to study human brain development, evolution and neuropsychiatric disorders.
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.
The goal of the project is to create a transformative sensor technology to measure complex forms of chemical communication in the living brain, in real time.