Modeling the influence of feedback in the visual system

On Zoom, accessible via the following link : https://us02web.zoom.us/j/87926438702

Abstract: Cortico-cortical feedback is common in the visual system and is believed to be needed for processes such as perceptual inference, attention, and learning. In this talk I will demonstrate how convolutional neural networks can be used to explore how such feedback works. In the first half of the talk, I will focus on the signals from prefrontal areas that are believed to control top-down feature attention. In the second half, I'll discuss ongoing work on how local feedback connections help process noisy images.

Bio: Grace Lindsay is a joint research fellow at the Gatsby Computational Neuroscience Unit and Sainsbury Wellcome Centre at UCL where she works on models of visual processing. She got her PhD at the Center for Theoretical Neuroscience at Columbia University in the lab of Ken Miller in 2018. Before that she got a Bachelor's in neuroscience from the University of Pittsburgh and worked as a research fellow at the Bernstein Center for Computational Neuroscience in Freiburg, Germany.