title: Eight open questions in the computational modeling of higher sensory cortex.
abstract: Propelled by advances in biologically inspired computer vision and artificial intelligence, the past five years have seen significant progress in using deep neural networks to model response patterns of neurons in visual cortex. In this paper, we briefly review this progress and then discuss eight key 'open questions' that we believe will drive research in computational models of sensory systems over the next five years, both in visual cortex and beyond.
authors.affiliation: Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: yamins@mit.edu.
authors.forename: Daniel Lk
authors.initials: DL
authors.lastname: Yamins
authors.affiliation: Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
authors.forename: James J
authors.initials: JJ
authors.lastname: DiCarlo
mesh_terms: D001185:Artificial Intelligence / Q000639:trends; D008959:Models, Neurological; D016571:Neural Networks, Computer; D012106:Research / Q000639:trends; D066191:Sensorimotor Cortex / Q000502:physiology*