Dear all Let me announce the publication of the first article of Gustavo Menesse for his Ph.D. thesis under my supervision. The paper has been published in the journal "Chaos" from AIP Publishing. In this paper and in collaboration with the experimental group of Prof. Jordi Soriano from University of Barcelona, we apply the so called Integrated Information Decomposition, namely Phi-ID, on in silico and in vitro data to decompose the usual transfer entropy measure into different modes of information transfer, namely, synergistic, redundant, or unique. We demonstrate that the unique information transfer is the most relevant measure to uncover structural topological details from network activity data, while redundant information only introduces residual information for this application. Although the retrieved network connectivity is still functional, it captures more details of the underlying structural topology by avoiding to take into account emergent high-order interactions and information redundancy between elements, which are important for the functional behavior, but mask the detection of direct simple interactions between elements constituted by the structural network topology. The present work shows how Phi-ID is a very suitable framework to explore the modes in which information can flow between parts of a neuronal system, opening a rich landscape of interactions between network topology, dynamics, and information not only in silico but also in actual neural systems. Under a methodological point of view the present work also demonstrates the usefulness of new frameworks in information theory to characterize structures of neuronal circuits in vitro which could help for the creation of artificial neuronal tissue in vitro more closely mimicking in vivo tissues and behavior. You can download the paper following this link https://doi.org/10.1063/5.0201454 Best wishes Joaquin J. Torres -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada. www.ugr.es/~jtorres [1] Links: ------ [1] http://www.ugr.es/~jtorres