A research team led by University of Maryland neuroscientists used artificial neural networks to uncover how cells in the visual cortex interpret light signals from the retina and translate that data into vision.
A research team led by University of Maryland neuroscientists used artificial neural networks to uncover how cells in the visual cortex interpret light signals from the retina and translate that data into vision.
Study co-authored by Biology Professor Joshua Weitz found intricate ecological networks emerge from simple beginnings that feature repeating patterns of evolutionary development.