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.
Nastase, Samuel
Assistant Professor of Psychology
The core questions driving my research are “What is shared between individual brains?” and “How do we share our thoughts with one another?”—using language and other coordinated actions. My research combines naturalistic neuroimaging paradigms (fMRI, ECoG) and deep neural networks to better answer these questions in real-world contexts. In current work, we leverage large language models to better understand how humans use language to transmit complex thoughts from one brain to another.
