Samson King
Alanna Carey
Alanna Carey of the Chen Lab Granted NIH D-SPAN Award
Alanna’s current work utilizes a genetically diverse mouse model in an automated home-cage performing a goal-directed learning task to observe how genetic diversity influences learning capacity. Her dissertation aims to demonstrate that genetic variation related to learning can converge on specific neuronal cell types and investigate how molecular, anatomical, or functional properties of neuronal cell […]
Perirhinal cortex learns a predictive map of the task environment
Faculty: Jerry Chen | Outlet: Nature
BU’s Core Organoid Research Spans CRC & MED Campuses to Restore Organ Function
Organoids are a growing trend in biomedical research fields internationally––but what are they? As the name suggests, it’s a simplified model of an organ made up of cells, studied both in vitro (outside a living organism) and in vivo (inside a living organism) to enhance the understanding and treatment of organ-related diseases and disorders. Their pathology, phenotype, and––in the future––repair, […]
Neurophotonics Center’s 7th Annual Symposium on Machine Learning and Photonics in Neuroscience
Yesterday, the Neurophotonics Center’s 7th annual symposium took place on the Center for Computing and Data Sciences’ 17th floor, organized by faculty members Mike Economo and Brian DePasquale. With hundreds of attendees and 11 presenters, the topics were broken down into four sessions under the umbrella of “Machine Learning and Photonics in Neuroscience.”
Ian Davison
Dr. Davison focuses on neural circuits’ underlying perception of and behavior in olfaction, with the overarching goal establishing the circuit architecture and neural computations that map chemical cues onto both stereotyped and learned, flexible behaviors.
Jerry Chen
Dr. Chen’s interest include studying the relationship between local circuits and long-range networks in the mammalian neocortex. By taking an integrative approach through combining large-scale in vivo imaging technology with molecular and genetic tools in the awake-behaving animal, he focuses on both long-range neocortical networks, and long-range cortical circuits during development.