61传媒

Professor Sarah Marzen has contributed the following:

Guest Editor for Computational Brain and Behavior Special Issue on 鈥淪ensory Prediction: Engineered and Evolved鈥�

Guest Editor for Open Mind Special Issue on 鈥淚nformation-Theoretic Principles in Cognitive Systems鈥�

Co-organized SFI/NSF/Keck Workshop on Sensory Prediction: Engineered and Evolved that was featured in SFI Parallax

Papers:

1. Sawaya鈭�, G. Issa鈭�, and S. Marzen. 鈥淎 framework for solving time-delayed Markov Decision Processes鈥�, Physical Review Research 5 (2023)
2. Lamberti鈭�, S. Tripathi鈭�, M. van Putten, S. Marzen, and J. le Feber. 鈥淧rediction in cultured cortical neural networks鈥�, PNAS Nexus 2(6) (2023)

Invited Talks:

1. Marzen. 鈥淗ow well do neurons, humans, and artificial neural networks predict?鈥� Organization of Computational Neuroscience Workshop on Information Theory (2023)
2. Marzen. 鈥淗ow well do neurons, humans, and artificial neural networks predict?鈥� Santa Fe Institute Workshop on Sensory Prediction, Engineered and Evolved (2023)
3. Marzen. 鈥淗ow well do neurons, humans, and artificial neural networks predict?鈥� American Mathematical Society, Sectional Meeting (2023)