Recurrence is required to capture the representational dynamics of the
human visual system

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Recurrence is required to capture the representational dynamics of the human visual system

14 March 2019

Tim C Kietzmann

Courtney J. Spoerer

Lynn K. A. Sörensen

Radoslaw Martin Cichy

N. Kriegeskorte

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Papers citing "Recurrence is required to capture the representational dynamics of the human visual system"

13 / 13 papers shown

Title
Category-Selective Neurons in Deep Networks: Comparing Purely Visual and Visual-Language Models Zitong Lu Yuxin Wang 76 0 0 23 Feb 2025
A recurrent vision transformer shows signatures of primate visual attention Jonathan Morgan Badr Albanna James P. Herman 94 0 0 16 Feb 2025
Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders M. Ernst Jochen Triesch T. Burwick 31 11 0 20 Jul 2019
Task-Driven Convolutional Recurrent Models of the Visual System Aran Nayebi Daniel M. Bear J. Kubilius Kohitij Kar Surya Ganguli David Sussillo J. DiCarlo Daniel L. K. Yamins 66 151 0 20 Jun 2018
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition Kuan Han Haiguang Wen Yizhen Zhang Di Fu Eugenio Culurciello Zhongming Liu 55 70 0 19 May 2018
Recurrent computations for visual pattern completion Hanlin Tang Martin Schrimpf William Lotter Charlotte Moerman Ana Paredes Josue Ortega Caro Walter Hardesty David D. Cox Gabriel Kreiman 55 211 0 07 Jun 2017
Dynamic Computational Time for Visual Attention Zhichao Li Yi Yang Xiao-Chang Liu Feng Zhou Shilei Wen Wenyuan Xu 90 113 0 30 Mar 2017
Using Human Brain Activity to Guide Machine Learning Ruth C. Fong Walter J. Scheirer David D. Cox 3DH 49 96 0 16 Mar 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 196 1,943 0 25 Feb 2016
Representational Distance Learning for Deep Neural Networks Patrick McClure N. Kriegeskorte 52 48 0 12 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014