Nonlinear dynamics of recurrent neural network function and malfunction

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• Peter Ashwin (University of Exeter)
• Monday 20 November 2023, 14:00-15:00
• Room 104, Arts Building (R16).

If you have a question about this talk, please contact Xiaocheng Shang.

Trained recurrent neural networks (RNNs) are nonlinear systems that can be trained to do a variety of tasks (for example, finite state computation) in the presence of input. In this talk I will discuss some work on how excitable network attractors can be used to explain some aspects of function and malfunction in such networks.

This talk is part of the Data Science and Computational Statistics Seminar series.

This talk is included in these lists:

• Data Science and Computational Statistics Seminar
• Room 104, Arts Building (R16)
• School of Mathematics events

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