Hybrid Monday Lecture Series
(open to the Rockefeller community)
Monday, May 19, 2025
Marcelo Magnasco, Ph.D.
Professor and Head of the Laboratory of Integrative Neuroscience, The Rockefeller University
The Dynamics of Recurrent Neural Networks: Traveling Waves, Short Term Memory, and Rapid Reconfiguration of Neural Circuits
Recommended Readings:
Magnasco, Marcelo O. “Input-driven circuit reconfiguration in critical recurrent neural networks.” Proceedings of the National Academy of Sciences 122.10 (2025): e2418818122.
Chandra, Aditi, and Marcelo O. Magnasco. “Dynamics of convolutional recurrent neural networks near their critical point.” Physical Review Research 6.4 (2024): 043152.
Magnasco, Marcelo O. “Convolutional unitary or orthogonal recurrent neural networks.” arXiv preprint arXiv:2302.07396 (2023).
Larsen, Brett W., and Shaul Druckmann. “Towards a more general understanding of the algorithmic utility of recurrent connections.” PLOS Computational Biology 18.6 (2022): e1010227.
Kirst, Christoph, Carl D. Modes, and Marcelo O. Magnasco. “Shifting attention to dynamics: Self-reconfiguration of neural networks.” Current Opinion in Systems Biology 3 (2017): 132-140.
