Jamieson Warner
Ph.D. Alumni
Jamieson Warner is a PhD student in the neuroscience graduate program. He is interested in neural network models of the development of connectivity in the brain.
Homepage:
https://jamiesonwarner.com/
Publications
Developmental Generative Models of Brain Connectivity 2025
Jamieson Warner, PhD Thesis, Neuroscience, The University of Texas at Austin.
Self-Organizing Models of Brain Wiring: Developmental Programs for Evolving Intelligence 2025
Jamieson Warner and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference Companion: Workshop on Evolution and Self-organization, 2025.
Pandemic Resilience: Case studies of an AI-calibrated ensemble of models to inform decision making 2024
GPAI, Technical Report, Global Partnership on Artificial Intelligence.
Using context to adapt to sensor drift 2024
Jamieson Warner, Ashwin Devaraj, and Risto Miikkulainen, In Proceedings of the International Conference on Development and Learning (ICDL 2024), 2024. (also arXiv:2003.07292).
Pandemic Resilience: Developing an AI-calibrated Ensemble of Models to Inform Decision Making 2023
GPAI, Technical Report, Global Partnership on Artificial Intelligence.
Areas of Interest
Cognitive Science Computational Neuroscience Neuroevolution
Software/Data
ContextSkillDrift Download on GitHub.

A gas classifier using an explicit conte...

2021
Labs
Formerly affiliated with Neural Networks