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

O. Hauk

N. Kriegeskorte

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

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Title
A recurrent vision transformer shows signatures of primate visual attention Jonathan Morgan Badr Albanna James P. Herman 36 0 0 16 Feb 2025
Understanding the Role of Pathways in a Deep Neural Network Lei Lyu Chen Pang Jihua Wang 35 3 0 28 Feb 2024
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment Tahereh Toosi Elias B. Issa 21 2 0 31 Oct 2023
Characterising representation dynamics in recurrent neural networks for object recognition Sushrut Thorat Adrien Doerig Tim C Kietzmann 16 3 0 23 Aug 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 36 71 0 08 Nov 2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition Naresh B. Ravichandran A. Lansner Pawel Herman 32 4 0 30 Jun 2022
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements Leonard E. van Dyck Sebastian J. Denzler W. Gruber 22 9 0 21 Jun 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks Ajay Subramanian Sara A. Price Omkar Kumbhar E. Sizikova N. Majaj D. Pelli 30 1 0 16 Jun 2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? S. Oota Jashn Arora Veeral Agarwal Mounika Marreddy Manish Gupta Raju Surampudi Bapi 33 38 0 03 May 2022
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 33 56 0 07 Sep 2021
Towards robust vision by multi-task learning on monkey visual cortex Shahd Safarani Arne F. Nix K. Willeke Santiago A. Cadena Kelli Restivo George H. Denfield A. Tolias Fabian H. Sinz OOD 19 52 0 29 Jul 2021
GLiT: Neural Architecture Search for Global and Local Image Transformer Boyu Chen Peixia Li Chuming Li Baopu Li Lei Bai Chen Lin Ming Sun Junjie Yan Wanli Ouyang ViT 35 85 0 07 Jul 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 30 1 0 16 Mar 2021
Predictive coding feedback results in perceived illusory contours in a recurrent neural network Zhaoyang Pang Callum Biggs O'May Bhavin Choksi R. V. Rullen 26 30 0 03 Feb 2021
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency Robert Geirhos Kristof Meding Felix Wichmann 19 117 0 30 Jun 2020
Going in circles is the way forward: the role of recurrence in visual inference R. S. V. Bergen N. Kriegeskorte 17 82 0 26 Mar 2020
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments Hongxin Wang Huatian Wang Jiannan Zhao Cheng Hu Jigen Peng Shigang Yue 25 15 0 29 Dec 2019
Disentangling neural mechanisms for perceptual grouping Junkyung Kim Drew Linsley Kalpit C. Thakkar Thomas Serre OCL 26 54 0 04 Jun 2019
Crowding in humans is unlike that in convolutional neural networks Ben Lonnqvist A. Clarke R. Chakravarthi 21 11 0 01 Mar 2019