Natural computations: from single cells to neuronal networksNovember 21, 2023 | 4 pm | BCCN Lecture Hall Philippstraße 13 Haus 6, 10115 Berlin + ZOOM Meeting-ID: 775 491 0236
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 firstname.lastname@example.org
This talk is hosted by SFB1315 subproject A06, and will be introduced and moderated by Matthew Larkum.