Associate Professor of Ophthalmology & Visual Sciences, University of Utah

Title: The Neural Circuitry and Modulators of Attention


Dr. Noudoost received his MD in 2002 from Isfahan University in Iran and then received his Ph.D. in Cognitive Neuroscience from the Institute for Research in Fundamental Sciences in Tehran, Iran. During his Ph.D., he studied the neural basis of object recognition with Dr. Hossein Esteky. Dr. Noudoost conducted his postdoctoral research on neural mechanisms of top-down control of cognitive functions with Dr. Tirin Moore at Stanford University. In 2013, he joined the Department of Cell Biology and Neuroscience at Montana State University as an Assistant Professor. He joined the Moran Eye Center as an Associate Professor starting August 2017. Dr. Noudoost's research aims at understanding the neural mechanisms and neuropharmacological basis of visual attention.

Research Summary

In Vision Computation Lab, we employ selective attention and working memory play a profound role in many of the tasks of everyday life; from driving a car, to reading, to holding a conversation in a crowded room, these cognitive abilities are an integral part of all our goal-oriented interactions with the world around us. The ultimate goal of our research is an understanding of the neural basis of selective attention and working memory. In particular, we will study the role of prefrontal control of visual cortical signals in these cognitive processes. This work involves electrophysiological recording, electrical stimulation, and pharmacological manipulation of neural activity in awake, behaving animals trained to perform tasks involving covert attention, spatial and object working memory.




Assistant Professor of Electrical & Computer Engineering, University of Utah

Speech Title: Decoding and Encoding of Information in Dynamic Vision


Dr. Neda Nategh is currently an Assistant Professor of Electrical and Computer Engineering, and Research Assistant Professor of Ophthalmology and Visual Sciences with the University of Utah. She received her Ph.D. in electrical engineering, her M.Sc. in electrical engineering, and her M.Sc. in statistics, all from Stanford University, and her B.Sc. in electrical engineering from Sharif University of Technology. She also holds a certificate in Biophysics and Computation in Neurons and Networks from the Neuroscience Institute at Princeton University. 

Research Summary

In Vision Computation Lab, we employ an interdisciplinary approach to (1) better understand how our visual system encodes the visual world and decodes relevant information in a statistically or information-theoretically optimal sense to form our visual perception (visual coding and computation); and (2) develop image processing and computer vision algorithms inspired by strategies from biological vision for enhancement of machine vision and imaging systems (neuro-inspired computational vision).