website picture
Erin Grant
she / her

I am a Senior Research Fellow at the
Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre
at University College London (UCL).

Research summary: I study learning in minds, brains, and machines using a combination of behavioral experiments, computational simulations, and analytical techniques. See my research page for more.

Here is a more formal bio that can be used to introduce me.

Recent News

Apr 2025

🧠💭🤖 Our workshop on Representational Alignment is back at ICLR 2025! Stay tuned for details of our hackathon.

Feb 2025

I’m helping to organize this year’s Conference on Cognitive Computational Neuroscience (CCN) in Amsterdam as part of the Technical Program Committee (Program Chairs). The deadline for the new proceedings paper track is February 20th, 2025!

I’ll attend the Simons Institute’s Workshop on LLMs, cognitive science, linguistics, and neuroscience in Berkeley.

Jan 2025

The 3rd edition of the Summer School on Analytical Connectionism is taking place in London this summer! If you’re a student or postdoc interested in developing and analyzing connectionist models of cognition, please apply. ⬅️

Sep 2024

Leon’s paper on an analytical model of neural receptive fields was accepted to NeurIPS as a spotlight presentation! 🎉 See you in Vancouver in December at the main conference, WiML and UniReps.

I am serving as a DEI Chair again at ICLR 2025, this year alongside Pablo Samuel Castro.

Aug 2024

I am serving as an area chair for ICLR 2025.

Jul 2024

📚 Like last year, I co-taught a module on dynamical systems with Clémentine Dominé as part of the Gatsby Bridging Programme.

I lectured at the OxML Summer School in Oxford…

Jun 2024

…and the ABC Summer School on NeuroAI at the University of Amsterdam!

Recent Publications

For a complete list, see my research page or my CV.

Nonlinear dynamics of localization in neural receptive fields.
Leon Lufkin, Andrew Saxe, Erin Grant.
In Advances in Neural Information Processing Systems (NeurIPS), 2024.
Spotlight presentation (<4% of submissions).
Bayes in the age of intelligent machines.
Bayes in the age of intelligent machines.
Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy.
In Current Directions in Psychological Science 33: 5, 2024.
The transient nature of emergent in-context learning in transformers.
The transient nature of emergent in-context learning in transformers.
Aaditya K. Singh*, Stephanie C.Y. Chan*, Ted Moskovitz, Erin Grant, Andrew Saxe, Felix Hill.
In Advances in Neural Information Processing Systems (NeurIPS), 2023.

Recent Service

2025
Technical Program Committee Member
CCN
2024, 2025
Diversity, Equity, & Inclusion Chair
2025
Co-organizer
2025
Co-organizer
2024
Co-organizer
2024—
Action Editor
2022—
Area Chair
2022—2025
Director