Baker, Laura A.
Gene-environment interplay in human behavior, including personality, cognitive and social development. Rich datasets from longitudinal twin study of risk factors for externalizing behavior problems available for analysis.
Hires, Samuel Andrew
Associate Professor of Biological Sciences
The Hires lab is investigating the basis of biological intelligence. Over the past decade we developed numerous imaging tools to record large-scale patterns of neural activity that are used by thousands of neuroscience labs. These have resulted in hundreds of publicly available datasets embedded with rich representations of neural activity. We are now developing analytical tools, using recent AI developments, to ultimately distill undiscovered principles of biological intelligence from these datasets.
Itti, Laurent
Professor of Computer Science and Psychology
The main fundamental research focus of the lab is in using computational modeling to gain insight into biological brain function. Thus, we study biologically-plausible brain models, and we compare the predictions of model simulations to empirical measurements from living systems. The brain subsystem towards which most of our efforts are focused is the visual system. Our modeling efforts range from fairly detailed models of small neuronal circuits, such as a single hypercolumn of orientation-selective neurons in primary visual cortex, to large-scale models embodying several million highly-simplified neurons to explore mechanisms of visual attention, gaze control, object recognition, and goal-oriented scene understanding. Further, we strive to employ modeling principles which are mathematically optimal in some task- and goal-dependent sense. Thus, we are interested in investigating the tasks and conditions for which the biological brain approaches the theoretical limits of information processing.
Lee, Darrin Jason
The focus of my laboratory is to explore the underlying mechanisms and potential of neuromodulation for cognitive dysfunction and psychiatric disorders, such as Alzheimer’s disease, Parkinson’s disease, epilepsy, depression, obsessive compulsive disorder and schizophrenia. Specifically, we utilize multiple depth electrode local field potential recordings and functional ultrasound imaging to evaluate simultaneous electrophysiology, cerebral blood flow and functional connectivity in these disorders. Using these tools, our goal is to better understand the underlying pathophysiology and optimize our neuromodulation strategies. Our aim is to translate our preclinical findings into clinically relevant neuromodulation treatments. My clinical research is focused on evaluating potential new indications and targets for neuromodulation, such as deep brain stimulation (DBS), spinal cord stimulation and focused ultrasound.
Mather, Mara
Professor of Gerontology, Psychology, and Biomedical Engineering
The autonomic nervous system plays an underappreciated role in age-related change in the brain and cognition. But the sympathetic hub region in the brain (the locus coeruleus) is one of the first brain regions affected by Alzheimer’s disease pathology and deep sleep, a period of high parasympathetic activity, is critical for clearing out the potentially toxic proteins generated by the brain’s activity during the day (it is the aggregation of such proteins that leads to the hallmark plaques and tangles seen in Alzheimer’s disease). Our research is investigating how both sympathetic and parasympathetic function affect brain function and cognition in aging and how interventions that increase parasympathetic activity may enhance brain function in older adults.
