Task-Driven Convolutional Recurrent Models of the Visual System

Task-Driven Convolutional Recurrent Models of the Visual System

20 June 2018

Daniel L. K. Yamins

Papers citing "Task-Driven Convolutional Recurrent Models of the Visual System"

18 / 18 papers shown

Title
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity Dazhong Rong Hao Dong Xing Gao Jiyu Wei Di Hong Yaoyao Hao Qinming He Yishuo Wang 28 0 0 13 May 2025
Differentiable Optimization of Similarity Scores Between Models and Brains Nathan Cloos Moufan Li Markus Siegel S. Brincat Earl K. Miller Guangyu Robert Yang Christopher J. Cueva 45 6 0 31 Dec 2024
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 27 117 0 08 Dec 2023
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels Shrajan Bhandary Z. Babaiee D. Kostyszyn T. Fechter C. Zamboglou Anca-Ligia Grosu Radu Grosu 40 1 0 28 Oct 2022
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications Fanglei Sun Yang Li Ying Wen Jin Hu Jun Wang Yang Yang Kai Li 26 1 0 22 May 2022
Explanatory models in neuroscience: Part 2 -- constraint-based intelligibility R. Cao Daniel L. K. Yamins 16 18 0 03 Apr 2021
Recurrent neural circuits for contour detection Drew Linsley Junkyung Kim A. Ashok Thomas Serre 27 45 0 29 Oct 2020
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation Leonard E. van Dyck W. Gruber 27 3 0 13 Jul 2020
Learning Physical Graph Representations from Visual Scenes Daniel M. Bear Chaofei Fan Damian Mrowca Yunzhu Li S. Alter ... Jeremy Schwartz Li Fei-Fei Jiajun Wu J. Tenenbaum Daniel L. K. Yamins SSL GNN SSeg AI4CE 45 79 0 22 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex Benjamin R. Cowley Jonathan W. Pillow 24 10 0 13 Jun 2020
Stable and expressive recurrent vision models Drew Linsley A. Ashok L. Govindarajan Rex G Liu Thomas Serre 19 44 0 22 May 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
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks Siming Yan Xuyang Fang Bowen Xiao Harold Rockwell Yimeng Zhang T. Lee SSL 21 7 0 22 Dec 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs J. Kubilius Martin Schrimpf Kohitij Kar Ha Hong N. Majaj ... Kailyn Schmidt Aran Nayebi Daniel M. Bear Daniel L. K. Yamins J. DiCarlo 35 256 0 13 Sep 2019
Disentangling neural mechanisms for perceptual grouping Junkyung Kim Drew Linsley Kalpit C. Thakkar Thomas Serre OCL 26 54 0 04 Jun 2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction Jielin Qiu Ge Huang T. Lee 24 10 0 25 Jan 2019
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks Drew Linsley Junkyung Kim D. Berson Thomas Serre 3DV 30 17 0 28 Nov 2018
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016