Feature-based Attention in Convolutional Neural Networks. - Grace W. Lindsay (CoRR, 2015)

Attention in Psychology, Neuroscience, and Machine Learning. - Grace W. Lindsay (Frontiers Comput. Neurosci., 2020)

Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning. - Grace W. Lindsay; Josh Merel; Tom Mrsic-Flogel; Maneesh Sahani (CoRR, 2021)

Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning. - Grace W. Lindsay (Frontiers Comput. Neurosci., 2021)

Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future. - Grace W. Lindsay (J. Cogn. Neurosci., 2021)

Testing the Tools of Systems Neuroscience on Artificial Neural Networks. - Grace W. Lindsay (CoRR, 2022)

Testing methods of neural systems understanding. - Grace W. Lindsay; David Bau (Cogn. Syst. Res., 2023)

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience. - Zhonghao He; Jascha Achterberg; Katie Collins; Kevin K. Nejad; Danyal Akarca; Yinzhu Yang; Wes Gurnee; Ilia Sucholutsky; Yuhan Tang; Rebeca Ianov; George Ogden; Chole Li; et al. (CoRR, 2024)

Improving satellite imagery segmentation using multiple Sentinel-2 revisits. - Kartik Jindgar; Grace W. Lindsay (CoRR, 2024)

Neural Circuit Architectural Priors for Quadruped Locomotion. - Nikhil X. Bhattasali; Venkatesh Pattabiraman; Lerrel Pinto; Grace W. Lindsay (CoRR, 2024)