A fundamental characteristic of living systems is sensing and integrating multi-dimensional sensory signals with memory in order to generate complex self-organized behaviors in continuously changing environments. Using computations on the level of signaling networks in single cells, we have identified that non-neuronal cells utilize dynamical ghost states as a memory-generating mechanism in order to integrate information from time-varying signals, and verified experimentally that ghost states are an emergent feature of cell-surface receptor networks organized at criticality. I will discuss the development of theoretical framework for biological computation with ghost states, and explore to which extent we can expand the findings from signaling networks in single non-neuronal cells to computations performed by neuronal networks in general.

About the Speaker: Since May 2020, PD Dr. Aneta Koseska is leading the Lise Meitner Research Group ‘Cellular computations and learning’.

Certificate of attendance: Please contact team assistant serenella.brinati.1@hu-berlin.de

This talk is hosted by SFB1315 subproject A06, and will be introduced and moderated by Matthew Larkum.

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