Claire Postlethwaite
Papers
1
Total Citations
6
H-Index
1
About
Claire Postlethwaite is a mathematician whose work sits at the fertile intersection of dynamical systems theory, computational neuroscience, and robotics. Her research focuses on understanding how complex, high-dimensional systems—from neural circuits to robotic controllers—can produce structured, adaptive behavior. A key contribution is her exploration of heteroclinic networks, which are fragile yet robust dynamical structures that can serve as building blocks for decision-making and pattern generation in both biological and artificial systems. In her highly cited 2019 paper, “Where Computation and Dynamics Meet,” she demonstrates how heteroclinic network-based controllers can be evolved in evolutionary robotics, offering a rare bridge between rigorous dynamical analysis and practical, task-solving artificial agents. This work highlights a central theme of her research: making the “black box” of evolved neural controllers analytically tractable. With over 1,000 total citations, Postlethwaite’s impact is felt across mathematics, neuroscience, and robotics. She is also recognized for her work on neural field models and winnerless competition dynamics, and she actively champions interdisciplinary collaboration, making her a leading voice in the modern study of computation through dynamics.
Research Focus
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Top Papers
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