Eight open questions in the computational modeling of higher sensory cortex

Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
DOI
10.7287/peerj.preprints.1881v1
Subject Areas
Neuroscience, Computational Science
Keywords
visual cortex, computational neuroscience, artificial intelligence, systems neuroscience, computational modeling, computer vision
Copyright
© 2016 Yamins et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Yamins DL, DiCarlo JJ. 2016. Eight open questions in the computational modeling of higher sensory cortex. PeerJ Preprints 4:e1881v1

Abstract

Propelled by recent 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 higher visual cortical areas. 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. Throughout, our focus is on challenges that will require both cutting-edge algorithmic developments as well as next-generation neuroscience and cognitive science experiments.

Author Comment

A version of this paper has been published in Current Opinion in Neurobiology, where it was part of an invited issue edited by Roozbeh Kiani (NYU) and Alla Karpova (Janelia Research Campus).