Han, S.Duke
Professor of Psychology and Family Medicine
The Han Research Laboratory is dedicated to improving the health, wellbeing, and independence of adults living into old age. We are interested in investigating the diverse factors and neurobiological mechanisms that impact cognition and decision making across the lifespan using multidisciplinary approaches informed by the fields of neuropsychology, cognitive and systems neuroscience, epidemiology, genetics, and behavioral economics.
Hayes-Larson, Eleanor
Assistant Professor of Gerontology
Eleanor Hayes-Larson is an epidemiologist whose research program integrates social, psychiatric, and neuroepidemiology with advanced statistical methods to understand drivers of cognitive decline and dementia incidence and disparities. Her work takes a lifecourse perspective to examine psychosocial determinants of Alzheimer’s disease and related dementias in diverse populations, with an emphasis on groups historically underrepresented in research. A main line of her research seeks to evaluate the impact of traumatic stress across the lifecourse on cognitive decline, dementia, and neuroimaging biomarkers. In addition, she has a line of methodological research, including both statistical simulation studies and empirical data analysis, that focuses on improving statistical tools for causal inference and generalizability of findings in cognitive aging research.
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.
Holschneider, Daniel P.
Professor of Psychiatry & the Behavioral Sciences
Our laboratory focuses on brain imaging in awake, behaving rodents. We use classic methods like autoradiography and positron emission tomography, along with histologic approaches and 3D brain reconstruction. We have been amongst the first to adapt analytic methods that are part of the human functional neuroimaging toolbox (statistical parametric mapping, functional connectivity, network analysis) to autoradiographic and histologic whole brain data sets. This enables voxel-based exploration of cerebral function in models of dopaminergic deafferentation, Huntington’s Disease, brain injury, fear, stress, hyperalgesia, gut microflora alterations, and chemogenetic knockdown. Our expertise includes functional brain mapping, animal behavior, physiologic monitoring (EEG, EMG, EKG, cardiac output), and histochemistry.
Immordino-Yang, Mary Helen
Professor of Education, Psychology & Neuroscience
Professor Mary Helen Immordino-Yang is the Director of USC CANDLE (Center for Affective Neuroscience, Development, Learning and Education). CANDLE’s mission is to bring developmental affective neuroscience into partnership with educational innovation, and to use what is learned to guide the transformation of schools, policy, and the student and teacher experience for a healthier and more equitable society. Our research involves analyzing multi-modal data, including functional and structural neuroimaging (MRI, EEG), and psychophysiological data, from mixed-method studies of adolescent development and effective teaching. During the 2025-2026 academic year, CANDLE will be designing, developing stimuli and collecting data for an upcoming longitudinal study of adolescents’ brain and psychosocial development.
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.
