Anirvan Nandy, PhD

I have a broad background in signal processing, psychophysics, and computational modeling from pre-doctoral and doctoral work. My doctoral research resulted in the first comprehensive model of visual crowding, a ubiquitous phenomenon in peripheral vision that severely degrades our ability to identify objects in clutter. Crowding is especially detrimental in patients with central vision loss. We also demonstrated that the oculomotor system has a remarkable ability to rapidly and persistently adapt to simulated central vision loss in normally sighted human subjects. During my post-doctoral training at the Salk Institute, I employed advanced electrophysiological and optogenetic techniques in the alert non-human primate to investigate the neuronal mechanisms of shape processing and attention in the visual cortex. My research has uncovered the detailed spatio-temporal structure of shape processing in neurons in visual area V4, a critical area for both shape processing and attention. Our results force us to reconsider the established notion that neuronal invariance increases as one traverses the cortical hierarchy. I have investigated the causal role of low-frequency correlated variability in neural activity on attentive behavior. Further, I have uncovered the cortical layer-specific organization of attentional modulation in the visual cortex. Together, these studies promise to significantly advance our current understanding of the cortical circuits of attention.