Learning and disrupting invariance in visual recognition with a temporal association rule. - Leyla Isik; Joel Z. Leibo; Tomaso A. Poggio (Frontiers Comput. Neurosci., 2012)

Computational role of eccentricity dependent cortical magnification. - Tomaso A. Poggio; Jim Mutch; Leyla Isik (CoRR, 2014)

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision. - Francis X. Chen; Gemma Roig; Leyla Isik; Xavier Boix; Tomaso A. Poggio (AAAI Spring Symposia, 2017)

Maximum-Order Complexity and Correlation Measures. - Leyla Isik; Arne Winterhof (Cryptogr., 2017)

Complete mappings and Carlitz rank. - Leyla Isik; Alev Topuzoglu; Arne Winterhof (Des. Codes Cryptogr., 2017)

Invariant recognition drives neural representations of action sequences. - Andrea Tacchetti; Leyla Isik; Tomaso A. Poggio (PLoS Comput. Biol., 2017)

Carlitz rank and index of permutation polynomials. - Leyla Isik; Arne Winterhof (Finite Fields Their Appl., 2018)

What is changing when: Decoding visual information in movies from human intracranial recordings. - Leyla Isik; Jedediah Singer; Joseph R. Madsen; Nancy Kanwisher; Gabriel Kreiman (NeuroImage, 2018)

The speed of human social interaction perception. - Leyla Isik; Anna Mynick; Dimitrios Pantazis; Nancy Kanwisher (NeuroImage, 2020)

Functional selectivity for social interaction perception in the human superior temporal sulcus during natural viewing. - Haemy Lee Masson; Leyla Isik (NeuroImage, 2021)

On the index of the Diffie-Hellman mapping. - Leyla Isik; Arne Winterhof (Appl. Algebra Eng. Commun. Comput., 2022)

Prospective Learning: Back to the Future. - Joshua T. Vogelstein; Timothy D. Verstynen; Konrad P. Kording; Leyla Isik; John W. Krakauer; Ralph Etienne-Cummings; Elizabeth L. Ogburn; Carey E. Priebe; Randal C. Burns; Kwame S. Kutten; James J. Knierim; James B. Potash; et al. (CoRR, 2022)

Out-of-distribution Detection Using Kernel Density Polytopes. - Jayanta Dey; Ashwin De Silva; Will LeVine; Jong M. Shin; Haoyin Xu; Ali Geisa; Tiffany Chu; Leyla Isik; Joshua T. Vogelstein (CoRR, 2022)

Prospective Learning: Principled Extrapolation to the Future. - Ashwin De Silva; Rahul Ramesh; Lyle H. Ungar; Marshall G. Hussain Shuler; Noah J. Cowan; Michael L. Platt; Chen Li; Leyla Isik; Seung-Eon Roh; Adam S. Charles; Archana Venkataraman; Brian Caffo; et al. (CoLLAs, 2023)

How does the primate brain combine generative and discriminative computations in vision? - Benjamin Peters; James J. DiCarlo; Todd M. Gureckis; Ralf Haefner; Leyla Isik; Joshua B. Tenenbaum; Talia Konkle; Thomas Naselaris; Kimberly L. Stachenfeld; Zenna Tavares; Doris Tsao; Ilker Yildirim; et al. (CoRR, 2024)

Using Multimodal Deep Neural Networks to Disentangle Language from Visual Aesthetics. - Colin Conwell; Christopher Hamblin; Chelsea Boccagno; David Mayo; Jesse Cummings; Leyla Isik; Andrei Barbu (CoRR, 2024)

Disentangled deep generative models reveal coding principles of the human face processing network. - Paul Soulos; Leyla Isik (PLoS Comput. Biol., 2024)

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. - Haojun Shi; Suyu Ye; Xinyu Fang; Chuanyang Jin; Leyla Isik; Yen-Ling Kuo; Tianmin Shu (AAAI, 2025)

Modeling dynamic social vision highlights gaps between deep learning and humans. - Kathy Garcia; Emalie McMahon; Colin Conwell; Michael F. Bonner; Leyla Isik (ICLR, 2025)

Vision and language representations in multimodal AI models and human social brain regions during natural movie viewing. - Hannah Small; Haemy Lee Masson; Stewart Mostofsky; Leyla Isik (UniReps, 2025)

Aligning Video Models with Human Social Judgments via Behavior-Guided Fine-Tuning. - Kathy Garcia; Leyla Isik (CoRR, 2025)