Neurons and Cognition · Quantitative Biology
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
Charles F. Cadieu, Ha Hong, Daniel L. K. Yamins, Nicolas Pinto +4
2015-06-19
Computer Vision and Pattern Recognition · Computer Science
Learning an Adaptation Function to Assess Image Visual Similarities
Olivier Risser-Maroix, Amine Marzouki, Hala Djeghim, Camille Kurtz +1
2022-06-06
Computer Vision and Pattern Recognition · Computer Science
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer
Cassidy Pirlot, Richard C. Gerum, Cory Efird, Joel Zylberberg +1
2022-09-07
Machine Learning · Computer Science
Learning From Brains How to Regularize Machines
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos +6
2019-11-14
Computer Vision and Pattern Recognition · Computer Science
Visualizing and Comparing Convolutional Neural Networks
Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao +1
2014-12-30
Computer Vision and Pattern Recognition · Computer Science
Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends
Ruxandra Barbulescu, Tiago Marques, Arlindo L. Oliveira
2023-10-17
Computer Vision and Pattern Recognition · Computer Science
Towards robust vision by multi-task learning on monkey visual cortex
Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena +4
2021-12-21
Computer Vision and Pattern Recognition · Computer Science
Do Vision Transformers See Like Convolutional Neural Networks?
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang +1
2022-03-07
Neurons and Cognition · Quantitative Biology
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Organization of Mouse Visual Cortex
Jianghong Shi, Eric Shea-Brown, Michael A. Buice
2019-11-20
Computer Vision and Pattern Recognition · Computer Science
Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback
Micah Richert, Dimitry Fisher, Filip Piekniewski, Eugene M. Izhikevich +1
2016-08-24
Computer Vision and Pattern Recognition · Computer Science
Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
Matteo Dunnhofer, Christian Micheloni, Kohitij Kar
2026-01-08
Computer Vision and Pattern Recognition · Computer Science
Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment
Pablo Hernández-Cámara, Jose Manuel Jaén-Lorites, Jorge Vila-Tomás, Valero Laparra +1
2025-08-14
Neurons and Cognition · Quantitative Biology
Adversarially trained neural representations may already be as robust as corresponding biological neural representations
Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello +3
2022-06-23
Neurons and Cognition · Quantitative Biology
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio +1
2023-06-06
Neurons and Cognition · Quantitative Biology
Monkey Perceptogram: Reconstructing Visual Representation and Presumptive Neural Preference from Monkey Multi-electrode Arrays
Teng Fei, Srinivas Ravishankar, Hoko Nakada, Abhinav Uppal +4
2025-10-10
Computer Vision and Pattern Recognition · Computer Science
Comparing and Integrating Different Notions of Representational Correspondence in Neural Systems
Jialin Wu, Shreya Saha, Yiqing Bo, Meenakshi Khosla
2026-02-24