Pixels to Voxels: Modeling Visual Representation in the Human Brain

Pixels to Voxels: Modeling Visual Representation in the Human Brain

18 July 2014

Papers citing "Pixels to Voxels: Modeling Visual Representation in the Human Brain"

10 / 10 papers shown

Title
Learning Intermediate Features of Object Affordances with a Convolutional Neural Network A. Wang Michael J. Tarr FAtt 6 4 0 20 Feb 2020
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization Kai Qiao Chi Zhang Jian Chen Linyuan Wang Li Tong Bin Yan MedIm 24 8 0 27 Jul 2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain Sharmistha Jat Hao Tang Partha P. Talukdar Tom Michael Mitchell 22 21 0 27 Jun 2019
How can deep learning advance computational modeling of sensory information processing? J. Thompson Yoshua Bengio E. Formisano M. Schönwiesner 7 16 0 25 Sep 2018
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 29 114 0 21 May 2018
Transfer of View-manifold Learning to Similarity Perception of Novel Objects Xingyu Lin Hao Wang Zhihao Li Yimeng Zhang Alan Yuille T. Lee 34 13 0 31 Mar 2017
Using Human Brain Activity to Guide Machine Learning Ruth C. Fong Walter J. Scheirer David D. Cox 3DH 27 95 0 16 Mar 2017
Adapting Deep Network Features to Capture Psychological Representations Joshua C. Peterson Joshua T. Abbott Thomas Griffiths 8 66 0 06 Aug 2016
Shallow and Deep Convolutional Networks for Saliency Prediction Junting Pan Kevin McGuinness E. Sayrol Noel E. O'Connor Xavier Giró-i-Nieto FAtt 38 467 0 02 Mar 2016
End-to-end Convolutional Network for Saliency Prediction Junting Pan Xavier Giró-i-Nieto 43 23 0 06 Jul 2015