In this talk, we propose to decipher the activity of neural networks via a “multiply and conquer” approach. This approach considers limit networks made of infinitely many replicas with the same basic neural structure. The key point is that these so-called replica-mean-field networks are in fact simplified, tractable versions of neural networks…
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Super-resolution optical microscopy has become a powerful tool to study the nanoscale spatial distribution of molecules of interest in biological cells, tissues and other structures over the last years. Imaging these distributions in the context of other molecules or the general structural context is, however, still challenging. I will present…
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Aggregations are common in biological systems at a range of scales and may be driven by exogenous constraints such as environmental heterogeneity and resource availability or by “self-organizing” interactions among individuals. One mechanism leading to self-organized animal aggregations is captured by Hamilton’s “selfish herd” hypothesis, which…
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Eukaryotic cells physically manipulate their environments; swimming through liquids, crawling across surfaces, and actively ingesting objects large and small. Inside these cells lies a seething mass of cytoplasm through which thousands of different objects are pushed and pulled to specific cellular locations. These and other dynamic…