Professor Sarah Marzen has contributed the following:
Guest Editor for Computational Brain and Behavior Special Issue on “Sensory Prediction: Engineered and Evolved”
Guest Editor for Open Mind Special Issue on “Information-Theoretic Principles in Cognitive Systems”
Co-organized SFI/NSF/Keck Workshop on Sensory Prediction: Engineered and Evolved that was featured in SFI Parallax
Papers:
- Sawaya∗, G. Issa∗, and S. Marzen. “A framework for solving time-delayed Markov Decision Processes”, Physical Review Research 5 (2023)
- Lamberti∗, S. Tripathi∗, M. van Putten, S. Marzen, and J. le Feber. “Prediction in cultured cortical neural networks”, PNAS Nexus 2(6) (2023)
Invited Talks:
- Marzen. “How well do neurons, humans, and artificial neural networks predict?” Organization of Computational Neuroscience Workshop on Information Theory (2023)
- Marzen. “How well do neurons, humans, and artificial neural networks predict?” Santa Fe Institute Workshop on Sensory Prediction, Engineered and Evolved (2023)
- Marzen. “How well do neurons, humans, and artificial neural networks predict?” American Mathematical Society, Sectional Meeting (2023)