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.
Jakowec, Michael
Professor of Clinical Pharmacy (Teaching)
The primary focus of research in Dr. Jakowec’s laboratory is to better understand the underlying molecular mechanisms involved in neuroplasticity in the injured brain with the emphasis on the basal ganglia and prefrontal cortex, regions of the brain responsible for motor and cognitive behaviors.The overarching goal is to find improved therapeutic approaches for brain disorders especially Parkinson’s disease and drug addiction. For the past 20 years the laboratory has examined the effects of exercise on promoting neuroplasticity, particularly synaptogenesis in animal models of Parkinson’s disease. In addition to non-pharmacological approaches to promote brain repair, ongoing studies are using an experimental therapeutics approach to explore pharmacological interventions to determine if novel drugs can serve as a means to enhance brain repair, especially in the context of exercise. Recent studies have focused on the mechanisms by which astrocytes support neuronal function as well as mechanisms by which boosting mitochondrial integrity can promote improved functional connectivity and restoration of motor and cognitive behaviors.
Kaplan, Jonas
Associate Professor of Psychology
I study self, consciousness, and meaning-making in all of its forms, with a focus on understanding the neural systems that integrate information to form high level models of the world and of the self. This includes a focus on narrative cognition, and naturalistic fMRI methods that allow for the analysis of the real-time, ongoing neural dynamics that support our understanding of the people, events, and stories that make up our worlds.
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.
Liew, Sook-Lei
Associate Professor of Biokinesiology and Physical Therapy
The overall mission of the laboratory is to enhance neural plasticity in a wide population of individuals in order to improve their quality of life and engagement in meaningful activities. We particularly focus on individuals with stroke using big data neuroimaging approaches, along with noninvasive brain stimulation and brain computer interfaces.
