Research Bio
Jacob Yates is an assistant professor of optometry and vision science. His research focuses on how populations of neurons in cortex infer structure in the visual world. His lab develops and uses machine learning models to understand neural activity and perception, with a focus on how active sampling and embodiment (e.g., through eye movements) contributes to learned representations.
Research Expertise and Interest
computational neuroscience, vision science, machine learning and artificial intelligence
Teaching
Neuroscience Graduate Research [NEU 292 - 047]
Neuroscience Research Review [NEU 295 - 030]
Seeing in Time, Space and Color [VISSCI 260D - 001]
Research in Vision Science [VISSCI 299 - 1]
Neuroscience Graduate Research [NEU 292 - 516]
Neuroscience Research Review [NEU 295 - 030]
Research in Vision Science [VISSCI 299 - 007]
Neuroscience Graduate Research [NEU 292 - 047]
Neuroscience Research Review [NEU 295 - 030]
Research in Vision Science [VISSCI 299 - 1]