Computational capabilities of transient sets in natural systems

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• Aneta Koseka, Max Planck Institute for Neurobiology of Behavior — Caesar, Bonn
• Tuesday 29 October 2024, 13:00-14:00
• Center for Mathematical Sciences, Lecture room MR4.

If you have a question about this talk, please contact Balázs Németh.

A fundamental characteristic of living systems is sensing and subsequent robust response to continuously varying environmental signals. Even seemingly “simple” systems, such as single cells or single-cell organisms, reveal higher-order computational capabilities that go beyond simple stimulus-response association. Developing a theoretical framework to characterize transient sets in dynamical systems, we describe how ghost sets can be utilized as a memory to integrate information from time-varying signals. We have identified experimentally that these states are an emergent feature of cell-surface receptor networks organized at criticality, which they exploit for memory-based navigation in changing environments. Furthermore, by formulating a theory of computation with ghost sets, we explore theoretically and experimentally basic paradigms of learning and memory on the level of single cells, but also neuronal networks.

This talk is part of the DAMTP Statistical Physics and Soft Matter Seminar series.

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• Center for Mathematical Sciences, Lecture room MR4
• DAMTP Statistical Physics and Soft Matter Seminar
• Soft Matter
• bld31

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