publications

2025

1. Predicting Multi-Agent Specialization via Task Parallelizability

   Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil Bramley, Christopher G Lucas, Natalia Velez, and Thomas L Griffiths

   arXiv preprint arXiv:2503.15703, 2025

2024

1. People Evaluate Idle Collaborators Based on their Impact on Task Efficiency

   Elizabeth A Mieczkowski, Cameron Rouse Turner, Natalia Vélez, and Thomas L. Griffiths

   2024
2. Decoding predicted future states from the brain’s physics engine

   RT Pramod, Elizabeth Mieczkowski, Cyn Fang, Josh Tenenbaum, and Nancy Kanwisher

   Journal of Vision, 2024
3. Many Hands Don’t Always Make Light Work: Explaining Social Loafing via Multiprocessing Efficiency

   Elizabeth Mieczkowski, Cameron Turner, Natalia Vélez, and Thomas L. Griffiths

   In Proceedings of the Annual Meeting of the Cognitive Science Society, 46 (0), 2024

2023

1. fROI-level computational models enable broad-scale experimental testing and expose key divergences between models and brains

   Elizabeth Mieczkowski, Alex Abate, Willian De Faria, Kirsten Lydic, James DiCarlo, Nancy Kanwisher, and N. Apurva Ratan Murty

   Journal of Vision, Aug 2023
2. Intensive fMRI scanning and computational models can provide insight into the neural basis of developmental prosopagnosia

   Subha Nawer Pushpita, Elizabeth Mieczkowski, Bradley Duchaine, and N. Apurva Ratan Murty

   Journal of Vision, Aug 2023

2022

1. Computational Models Recapitulate Key Signatures of Face, Body and Scene Processing in the FFA, EBA, and PPA

   Alex Abate, Elizabeth Mieczkowski, Meenakshi Khosla, James DiCarlo, Nancy Kanwisher, and N. Apurva Ratan Murty

   Journal of Vision, Aug 2022