What are the Visual Features Underlying Human Versus Machine Vision? - Drew Linsley; Sven Eberhardt; Tarun Sharma; Pankaj Gupta; Thomas Serre (ICCV Workshops, 2017)

Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition. - Drew Linsley; Sven Eberhardt; Tarun Sharma; Pankaj Gupta; Thomas Serre (CoRR, 2017)

Learning to predict action potentials end-to-end from calcium imaging data. - Drew Linsley; Jeremy W. Linsley; Tarun Sharma; Nathan Meyers; Thomas Serre (CISS, 2018)

Learning long-range spatial dependencies with horizontal gated recurrent units. - Drew Linsley; Junkyung Kim; Vijay Veerabadran; Charles Windolf; Thomas Serre (NeurIPS, 2018)

Learning long-range spatial dependencies with horizontal gated-recurrent units. - Drew Linsley; Junkyung Kim; Vijay Veerabadran; Thomas Serre (CoRR, 2018)

Global-and-local attention networks for visual recognition. - Drew Linsley; Dan Scheibler; Sven Eberhardt; Thomas Serre (CoRR, 2018)

Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks. - Drew Linsley; Junkyung Kim; David Berson; Thomas Serre (CoRR, 2018)

Learning what and where to attend. - Drew Linsley; Dan Shiebler; Sven Eberhardt; Thomas Serre (ICLR (Poster), 2019)

Disentangling neural mechanisms for perceptual grouping. - Junkyung Kim; Drew Linsley; Kalpit Thakkar; Thomas Serre (ICLR, 2020)

Recurrent neural circuits for contour detection. - Drew Linsley; Junkyung Kim; Alekh Ashok; Thomas Serre (ICLR, 2020)

Stable and expressive recurrent vision models. - Drew Linsley; Alekh Karkada Ashok; Lakshmi Narasimhan Govindarajan; Rex G. Liu; Thomas Serre (NeurIPS, 2020)

Tracking Without Re-recognition in Humans and Machines. - Drew Linsley; Girik Malik; Junkyung Kim; Lakshmi Narasimhan Govindarajan; Ennio Mingolla; Thomas Serre (NeurIPS, 2021)

The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks. - Girik Malik; Drew Linsley; Thomas Serre; Ennio Mingolla (CoRR, 2021)

Harmonizing the object recognition strategies of deep neural networks with humans. - Thomas Fel; Ivan F. Rodriguez Rodriguez; Drew Linsley; Thomas Serre (NeurIPS, 2022)

How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition. - Amor Ben Tanfous; Aimen Zerroug; Drew Linsley; Thomas Serre (WACV, 2022)

Harmonizing the object recognition strategies of deep neural networks with humans. - Thomas Fel; Ivan Felipe Rodríguez; Drew Linsley; Thomas Serre (CoRR, 2022)

Understanding the Computational Demands Underlying Visual Reasoning. - Mohit Vaishnav; Rémi Cadène; Andrea Alamia; Drew Linsley; Rufin VanRullen; Thomas Serre (Neural Comput., 2022)

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. - Thomas Fel; Thibaut Boissin; Victor Boutin; Agustin Picard; Paul Novello; Julien Colin; Drew Linsley; Tom Rousseau; Rémi Cadène; Lore Goetschalckx; Laurent Gardes; Thomas Serre (NeurIPS, 2023)

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. - Drew Linsley; Ivan F. Rodriguez Rodriguez; Thomas Fel; Michael Arcaro; Saloni Sharma; Margaret S. Livingstone; Thomas Serre (NeurIPS, 2023)

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception. - Drew Linsley; Pinyuan Feng; Thibaut Boissin; Alekh Karkada Ashok; Thomas Fel; Stephanie Olaiya; Thomas Serre (CoRR, 2023)

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. - Drew Linsley; Ivan Felipe Rodríguez; Thomas Fel; Michael Arcaro; Saloni Sharma; Margaret S. Livingstone; Thomas Serre (CoRR, 2023)

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. - Thomas Fel; Thibaut Boissin; Victor Boutin; Agustin Martin Picard; Paul Novello; Julien Colin; Drew Linsley; Tom Rousseau; Rémi Cadène; Laurent Gardes; Thomas Serre (CoRR, 2023)

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning. - Lakshmi Narasimhan Govindarajan; Rex G. Liu; Drew Linsley; Alekh Karkada Ashok; Max Reuter; Michael J. Frank; Thomas Serre (CoRR, 2023)

Neural scaling laws for phenotypic drug discovery. - Drew Linsley; John Griffin; Jason Parker Brown; Adam N. Roose; Michael J. Frank; Peter Linsley; Steven Finkbeiner; Jeremy Linsley (CoRR, 2023)

Fixing the problems of deep neural networks will require better training data and learning algorithms. - Drew Linsley; Thomas Serre (CoRR, 2023)

The 3D-PC: a benchmark for visual perspective taking in humans and machines. - Drew Linsley; Peisen Zhou; Alekh Karkada Ashok; Akash Nagaraj; Gaurav Gaonkar; Francis E. Lewis; Zygmunt Pizlo; Thomas Serre (ICLR, 2025)

Tracking objects that change in appearance with phase synchrony. - Sabine Muzellec; Drew Linsley; Alekh Karkada Ashok; Ennio Mingolla; Girik Malik; Rufin VanRullen; Thomas Serre (ICLR, 2025)

Better artificial intelligence does not mean better models of biology. - Drew Linsley; Pinyuan Feng; Thomas Serre (CoRR, 2025)