No booze, all bandwidth for cellular working memory (ChatGPT helped me with this one): Aneta Koseska's lecture will make January less dry. Tune in for
Computations and learning in single cells
Jan 29, 5-6pm CET
Abstract:
A fundamental characteristic of living systems is sensing and responsiveness 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. We have identified experimentally that mammalian single cells utilize a form of molecular ‘working memory’ to integrate signals that change over time and space, and can thereby navigate in complex environments and map growth factor signals to phenotypic response. Analyzing mathematically the dynamics of the underlying biochemical circuit, we can predict, but also demonstrate experimentally that molecular working memory further aids sensitization on the level of single cells, a basic form of non-associative learning. We therefore suggest that single cells provide a tractable system to dissect the molecular mechanisms by which life encodes, retains, and adapts information over time.
Further information:
Aneta Koseska is leading the Lise Meitner Research Group Cellular computations and learning at the Max Planck Institute for neurobiology of behavior. Her research focuses on developing a generic theory of computations and learning on the level of biochemical networks in single cells. For more info check out her group webpage.
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If you've any question or if you'd like to present your own research, post in the group or contact us at
leo [dot] zeitler [at] pasteur [dot] fr
gautham [dot] ganesh [at] cbs [dot] cnrs [dot] fr