Our scientific stories

Preprint

Emotional Similarity Between Personally-Relevant Photographs of Negative World Events
Shulhan, Iordan, Fu, Mekjan, Attwood, Zeng, Pobric, Zasiekina, & Talmi
OSF (2024)

Publications

Sculpting New Visual Categories into the Human Brain
Iordan, Ritvo, Norman, Turk-Browne, & Cohen
Proceedings of the National Academy of Sciences (2024)

Inducing Representational Change in the Hippocampus through Real-Time Neurofeedback
Peng, Wammes, Nguyen, Iordan, Norman, & Turk-Browne
Philosophical Transactions of the Royal Society B (2024)

Event Similarity and Word-Level Salience Predict How Humans Summarize Naturalistic Narratives
Sun & Iordan
Proceedings of the 7th Annual Conference on Cognitive and Computational Neuroscience (2024)

Context Matters: Recovering Human Semantic Structure From Machine Learning Analysis of Text
Iordan, Giallanza, Ellis, Beckage, & Cohen
Cognitive Science (2022)

Feature Ratings and Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity
Iordan, Ellis, Lesnick, Osherson, & Cohen
Proceedings of the 40th Annual Meeting of the Cognitive Science Society (2018)

Mothers Consistently Alter Their Unique Vocal Fingerprints to Communicate with Infants
Piazza, Iordan, & Lew-Williams
Current Biology (2017)

Typicality Sharpens Category Representations in Object-Selectie Cortex
Iordan, Greene, Beck, & Fei-Fei
Neuroimage (2016)

Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions
Iordan, Joulin, Beck, & Fei-Fei
Proceedings of the 4th Annual Machine Learning in Neuroimaging (MLINI) Workshop, NeurIPS, (2015)

Basic Level Category Structure Emerges Gradually Across Human Ventral Visual Cortex
Iordan, Greene, Beck, & Fei-Fei
Journal of Cognitive Neuroscience (2015)

Discovering Voxel-Level Connectivity Between Cortical Regions
Baldassano, Iordan, Beck, & Fei-Fei
Proceedings of the 1st Annual Machine Learning in Neuroimaging (MLINI) Workshop, NeurIPS (2012)

Voxel-Level Functional Connectivity Using Spatial Regularization
Baldassano, Iordan, Beck, & Fei-Fei
Neuroimage (2012)

On μ-compatible Metrics and Measurable Sensitivity
Grigoriev, Iordan, Lubin, Ince, & Silva
Colloquium Mathematicum (2012)

Searching in Dynamic Partial Orders
Heeringa, Iordan, & Theran
Algorithms and Data Structures Symposium (WADS) (2011)

Kudzu: A Self-Balancing P2P File Transfer System
Barker, Iordan, Albrecht, & Raghavan Proceedings of the 3rd Workshop on Tackling Computer Systems Problems with Machine Learning (SysML) (2008)

Theses

Uncovering the Neural Representation of Multiple Dimensions of Object Categorization in Visual Cortex
Iordan
Stanford University, Ph.D. Thesis in Computer Science (2016)

Leaf-Line Tree: A Data Structure for Searching in Dynamic Tree-Like Partial Orders
Iordan
Williams College, Honors Thesis in Computer Science (2009)