Hola, os recuerdo que mañana hay un seminario muy interesante. Martes 4 de junio a las 10:00 en el aula A22 de la Facultad de Ciencias. Fluctuations, precision and transport far from thermodynamic equilibrium Single-molecule and particle-tracking experiments interrogate physical observables along individual trajectories. These observables typically correspond to low-dimensional projections of high-dimensional dynamics or a spatially coarse-grained (e.g. "binned") version thereof, and the experiments are generically analyzed by time-averaging along individual traces. It has long been known that projections that couple to slow hidden degrees of freedom give rise to memory in the observed dynamics. However, we are only beginning to understand their implications for thermodynamics and observed transport, in particular in systems driven far from thermodynamic equilibrium. I will review our recent efforts on how to describe and understand fluctuations, dissipation, and precision on the basis of path-based observables in systems driven arbitrarily far form equilibrium. Un saludo. --------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Quantum Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/
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
participants (2)
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Daniel Manzano -
Prof. Dr. Joaquín J. Torres