1,410 research outputs found

    Deep generative models for network data synthesis and monitoring

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    Measurement and monitoring are fundamental tasks in all networks, enabling the down-stream management and optimization of the network. Although networks inherently have abundant amounts of monitoring data, its access and effective measurement is another story. The challenges exist in many aspects. First, the inaccessibility of network monitoring data for external users, and it is hard to provide a high-fidelity dataset without leaking commercial sensitive information. Second, it could be very expensive to carry out effective data collection to cover a large-scale network system, considering the size of network growing, i.e., cell number of radio network and the number of flows in the Internet Service Provider (ISP) network. Third, it is difficult to ensure fidelity and efficiency simultaneously in network monitoring, as the available resources in the network element that can be applied to support the measurement function are too limited to implement sophisticated mechanisms. Finally, understanding and explaining the behavior of the network becomes challenging due to its size and complex structure. Various emerging optimization-based solutions (e.g., compressive sensing) or data-driven solutions (e.g. deep learning) have been proposed for the aforementioned challenges. However, the fidelity and efficiency of existing methods cannot yet meet the current network requirements. The contributions made in this thesis significantly advance the state of the art in the domain of network measurement and monitoring techniques. Overall, we leverage cutting-edge machine learning technology, deep generative modeling, throughout the entire thesis. First, we design and realize APPSHOT , an efficient city-scale network traffic sharing with a conditional generative model, which only requires open-source contextual data during inference (e.g., land use information and population distribution). Second, we develop an efficient drive testing system — GENDT, based on generative model, which combines graph neural networks, conditional generation, and quantified model uncertainty to enhance the efficiency of mobile drive testing. Third, we design and implement DISTILGAN, a high-fidelity, efficient, versatile, and real-time network telemetry system with latent GANs and spectral-temporal networks. Finally, we propose SPOTLIGHT , an accurate, explainable, and efficient anomaly detection system of the Open RAN (Radio Access Network) system. The lessons learned through this research are summarized, and interesting topics are discussed for future work in this domain. All proposed solutions have been evaluated with real-world datasets and applied to support different applications in real systems

    Automated identification and behaviour classification for modelling social dynamics in group-housed mice

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    Mice are often used in biology as exploratory models of human conditions, due to their similar genetics and physiology. Unfortunately, research on behaviour has traditionally been limited to studying individuals in isolated environments and over short periods of time. This can miss critical time-effects, and, since mice are social creatures, bias results. This work addresses this gap in research by developing tools to analyse the individual behaviour of group-housed mice in the home-cage over several days and with minimal disruption. Using data provided by the Mary Lyon Centre at MRC Harwell we designed an end-to-end system that (a) tracks and identifies mice in a cage, (b) infers their behaviour, and subsequently (c) models the group dynamics as functions of individual activities. In support of the above, we also curated and made available a large dataset of mouse localisation and behaviour classifications (IMADGE), as well as two smaller annotated datasets for training/evaluating the identification (TIDe) and behaviour inference (ABODe) systems. This research constitutes the first of its kind in terms of the scale and challenges addressed. The data source (side-view single-channel video with clutter and no identification markers for mice) presents challenging conditions for analysis, but has the potential to give richer information while using industry standard housing. A Tracking and Identification module was developed to automatically detect, track and identify the (visually similar) mice in the cluttered home-cage using only single-channel IR video and coarse position from RFID readings. Existing detectors and trackers were combined with a novel Integer Linear Programming formulation to assign anonymous tracks to mouse identities. This utilised a probabilistic weight model of affinity between detections and RFID pickups. The next task necessitated the implementation of the Activity Labelling module that classifies the behaviour of each mouse, handling occlusion to avoid giving unreliable classifications when the mice cannot be observed. Two key aspects of this were (a) careful feature-selection, and (b) judicious balancing of the errors of the system in line with the repercussions for our setup. Given these sequences of individual behaviours, we analysed the interaction dynamics between mice in the same cage by collapsing the group behaviour into a sequence of interpretable latent regimes using both static and temporal (Markov) models. Using a permutation matrix, we were able to automatically assign mice to roles in the HMM, fit a global model to a group of cages and analyse abnormalities in data from a different demographic

    Towards a muon collider

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    A muon collider would enable the big jump ahead in energy reach that is needed for a fruitful exploration of fundamental interactions. The challenges of producing muon collisions at high luminosity and 10 TeV centre of mass energy are being investigated by the recently-formed International Muon Collider Collaboration. This Review summarises the status and the recent advances on muon colliders design, physics and detector studies. The aim is to provide a global perspective of the field and to outline directions for future work

    Synthetic Aperture Radar (SAR) Meets Deep Learning

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    This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports

    Development of Small-Angle X-Ray Scattering on a Nanometer and Femtosecond Scale for the Investigation of Laser-Driven Matter

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    Laser-Plasma-Beschleunigung mittels ultraintensiver Laserstrahlung ist eine vielversprechende Technologie fĂŒr die Entwicklung kompakter Strahlungsquellen. Diese werden in einem breiten Spektrum technischer AnwendungsfĂ€lle genutzt, zum Beispiel zur Krebstherapie, in der Laborastrophysik und fĂŒr die TrĂ€gheitsfusion, weshalb viele interdisziplinĂ€ren Forschungsfelder ein großes Interesse an ihrer Entwicklung haben. Die ersten Machbarkeitsstudien zur Nutzung gepulster Protonenstrahlung zur Tumorbehandlung haben bereits erfreuliche Ergebnisse geliefert. Dennoch lagen die erzielten Parameter des Protonenstrahls weit unter den erwarteten Werten. Die bekannten Faktoren, die diese Performance einschrĂ€nken, wurden fast ausschließlich durch Simulationen identifiziert. Der experimentelle Zugang zur Laser-Plasma-Wechselwirkung ist bisher auf die Auswertung der resultierenden Strahlung und auf makroskopische OberflĂ€cheneffekte beschrĂ€nkt, die mit optischen Messtechniken untersucht werden können. Diese Diagnostiken liefern allerdings keinerlei Informationen ĂŒber die VorgĂ€nge im Inneren des Plasmas, die letztlich die Parameter der beschleunigten Protonen bestimmen. Diese Prozesse werden in ihrer GrĂ¶ĂŸe und Zeitskala durch die Plasmaoszillation bzw. deren Frequenz und WellenlĂ€nge bestimmt. Das Ziel dieses Forschungsprojekts war es, diese LĂŒcke in der Auflösung bestehender Messmethoden zu schließen und eine Diagnostik zu entwickeln, die in der Lage ist, nanoskopische Plasma-PhĂ€nomene im Inneren der lasergetriebenen Probe zu untersuchen. Dieses Ziel konnten wir durch die EinfĂŒhrung von Röntgenkleinwinkelstreuung (SAXS) in Laserexperimenten an Röntgen-Freie-Elektronen-Lasern (XFELs) erreichen. In dieser Arbeit erlĂ€utere ich das technische Design und die methodische Auswertung des ersten dedizierten SAXS Experiments, das an der Matter in Extreme Conditions Messstation (auch MEC, Materie unter extremen Bedingungen) der Linac Coherent Light Source (auch LCLS, Linearbeschleuniger als kohĂ€rente Lichtquelle) durchgefĂŒhrt wurde. Dieses Experiment war vorrangig eine Machbarkeitsstudie, die als Basis fĂŒr die weitere Verwendung von SAXS in Laserexperimenten dienen soll. Meine Arbeit wird ausfĂŒhrlich die dafĂŒr nötigen experimentellen Techniken, den Aufbau, die Reinigung des gemessenen Beugungsbilds, das Probendesign und den Auswerteprozess erlĂ€utern. Um die experimentelle DurchfĂŒhrbarkeit dieser Methode zu testen, nutzten wir SAXS, um die Ausbreitung einer nanostrukturierten Probe in der Zeit kurz vor und wĂ€hrend des Beginns des Laserpulses zu messen. Der Ausbreitungsparameter, den wir so aus den experimentellen Daten gewinnen konnten, liegt im einstelligen Nanometer- und teilweise im Subnanometer-Bereich und stimmte gut mit den Ergebnissen einer Particle In Cell (PIC) Simulation zur frĂŒhen Ausbreitungsphase ĂŒberein. Dies zeigt, dass SAXS in der Lage ist, Plasma Prozesse zu messen, die fĂŒr andere Diagnostiken bisher nicht zugĂ€nglich waren. Außerdem beobachteten wir eine Abweichung der experimentellen Daten von dem von uns entwickelten Modell zur Beschreibung der ungehinderten Ausbreitung des Plasmas ins Vakuum. Dies veranlasste uns zu einer genaueren Untersuchung der Ausbreitung mittels PIC Simulation und tatsĂ€chlich sahen wir darin die Bildung von Plasma-Strömen, die auch in der SAXS-Auswertung qualitativ bestĂ€tigt werden konnten. Die KomplexitĂ€t des Ausbreitungsprozesses, die wir in diesem Forschungsprojekt aufdecken konnten, zeigt, dass weitere Studien dazu durchgefĂŒhrt werden sollten. Wenn wir die Ergebnisse der hier prĂ€sentierten SAXS Modelle nutzen, um unser VerstĂ€ndnis des Effekts von Vorpulsen und IntensitĂ€ts-Plateaus auf die Protonenbeschleunigung mit nanostrukturierten Proben zu verbessern, werden wir zukĂŒnftig in der Lage sein, die damit erzielten Strahlparameter zu verbessern. Der entwickelte SAXS Aufbau wurde auch an die Gegebenheiten von Experimenten zur Schockwellenverdichtung mittels Hochenergielasern angepasst und angewendet. Es gibt großes wissenschaftliches Interesse an der Entmischung von Kohlenwasserstoffen im Zustand warmer dichter Materie (WDM). Viele Laborastrophysikexperimente untersuchen das Innere von Eisriesen wie Uranus und Neptun, insbesondere den Verlauf der Phasentrennung von leichten Elementen wie Kohlenstoff und Wasserstoff, die zu Diamantregen fĂŒhrt. Bisher war es bei diesen Messungen nicht möglich, nanoskopische DichteĂ€nderungen im Inneren einer dichten Probe unter extremen Bedingungen zu untersuchen. Im Rahmen dieser Forschungsarbeit wurde SAXS als ergĂ€nzende Diagnostik in Hochenergiedichte-Experimenten mit Lasern an Einrichtungen wie an der MEC Messstation und an anderen XFELs etabliert. Ich wendete bekannte SAXS Auswerteroutinen auf den besonderen Fall eines sich von Schuss zu Schuss Ă€ndernden Dichtekontrasts an. Die verschiedenen Komponenten der SAXS Daten wurden mit den Informationen korreliert, die aus anderen Diagnostiken wie Beugung und VISAR gewonnen wurden. So konnte ich durch die Auswertung der Nanodiamant-Komponente eine SchĂ€tzung der DiamantgrĂ¶ĂŸe und des Diamant-Volumenanteils ableiten, indem ich spezifische Modelle fittete, die auf hydrodynamischen Simulationen basieren. ZukĂŒnftig möchten wir diese experimentellen Grundlagen auch auf die Untersuchung von FlĂŒssig-FlĂŒssig-Entmischung leichter Elemente im WDM Zustand anwenden. In dieser Arbeit erlĂ€utere ich die von mir entwickelten Auswerteprozesse, die auf weitere Messungen angewendet werden können, sobald deren Messbereich und SensitivitĂ€t so verbessert wurde, dass die Parameter von Interesse bestimmbar sind. Dieses Projekt half dabei, SAXS als Standarddiagnostik in Forschungseinrichtungen zu etablieren, die XFELs mit Hochleistungslaserexperimenten verbinden. Es bereitet sowohl die technische als auch die methodische Grundlage fĂŒr weitere Experimente.Laser plasma acceleration with ultra-high intensity (UHI) lasers is a promising technology for building compact radiation sources. These hold immense potential for a wide array of applications including cancer therapy, laboratory astrophysics and inertial confinement fusion and there is great interest in their development in many interdisciplinary fields of research. But while proof of concept experiments using proton pulses for tumor irradiation have delivered encouraging results, the achieved proton beam parameters fell short of the originally expected values. The limiting factors to this performance have mostly been identified in simulation only. Experimental access to the interaction between the drive laser and the dense plasma is so far limited to the analysis of the emitted radiation and the macroscopic surface effects that can be probed by visible light. These diagnostics cannot provide information about the processes in the bulk of the plasma that eventually determine the properties of the accelerated particles. Their spatial and temporal domain is dominated by the plasma oscillation frequency and wavelength. The aim of this project was to bridge this resolution gap with a diagnostic that is capable of investigating nanoscopic plasma features in the bulk of a laser-driven sample on a femtosecond scale. This was achieved by establishing the use of Small Angle X-Ray Scattering (SAXS) at UHI laser experiments at X-Ray Free Electron Lasers. My thesis will outline the technical design and scientific analysis of the first dedicated SAXS experiment at the Matter in Extreme Conditions (MEC) instrument of the Linac Coherent Light Source. The primary goal of the experiment was proof of concept as a foundation for regular use of SAXS in UHI experiments in the future. I will discuss the experimental procedures, the setup, the cleaning of the diffraction pattern, the target design and the analysis process that were developed for this new diagnostic in detail. To test the feasibility of this method, we used SAXS to measure the expansion of a nanostructured target in the femtosecond time span before and around the onset of a low intensity drive laser pulse. The expansion parameter that was extracted from the experimental data is in the in the sub- to single nanometer range and was in good agreement with the results of a particle-in-cell (PIC) simulation describing the early expansion phase. This demonstrates that SAXS is capable of measuring plasma processes on scales that were previously unobtainable by other diagnostics. We also identified a deviation of the experimental data from the simple model that we developed to describe an unobstructed expansion of plasma into vacuum. This lead us to examine the expansion in more detail via PIC simulation and indeed we discovered the formation of plasma jets at a later phase of the plasma expansion in simulation for a grating target. This additional effect was confirmed qualitatively by the SAXS analysis. The complexity of the plasma expansion process for a structured target we found in this project demonstrates the need for further studies. If we use the SAXS models presented here to improve our understanding of the effect of prepulses and pedestals on proton acceleration using nanostructured targets, we can apply this knowledge to the improvement of the proton beam parameters in future developments. %Additionally the technical implementation of SAXS for UHI laser experiments was developed in the framework of this thesis and established as a useful tool for the investigation of other nanoscopic plasma features. The developed experimental setup for SAXS was also adapted and applied to laser shock compression experiments using high energy drive lasers. There is great research interest in the demixing of hydrocarbons in the Warm Dense Matter (WDM) state. Many laboratory astrophysics experiments investigate the internal structure of ice giants like Uranus and Neptune, specifically the dynamics of the phase separation of light elements like carbon and hydrogen which can result in diamond rain. So far these measurements lacked a diagnostic that is capable of probing nanoscopic density modulations in the bulk of a dense target in an extreme state of matter. SAXS allowed us to gain access to the parameters of the demixing process. In the framework of this project SAXS was established as a complementary diagnostic to the standard setup for high energy density laser experiments at the MEC instrument and at other XFELs. I applied existing SAXS analysis procedures to the special case of a density contrast that changes on every shot. The different components of the SAXS data were correlated to information from other standard diagnostics including diffraction and VISAR. I was able to quantitatively analyze the component caused by nanodiamonds and retrieved an estimate of the diamond size and volume fraction from fits to custom models that are based on hydrodynamic simulations. In the future, we would like to extend this experimental basis to the investigation of liquid-liquid demixing of light elements in the WDM state. In this thesis I will discuss the SAXS analysis procedures that I dweveloped so that they can be applied to future measurements, once the experimental range and sensitivity has been improved to retrieve the parameters of interest. This project helped to establish SAXS as a standard diagnostic at facilities combining XFELs with high power laser experiments. It is supposed to lay both the technical and methodical groundwork for further experiments

    Superconducting Circuit Architectures Based on Waveguide Quantum Electrodynamics

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    Quantum science and technology provides new possibilities in processing information, simulating novel materials, and answering fundamental questions beyond the reach of classical methods. Realizing these goals relies on the advancement of physical platforms, among which superconducting circuits have been one of the leading candidates offering complete control and read-out over individual qubits and the potential to scale up. However, most circuit-based multi-qubit architectures only include nearest-neighbor (NN) coupling between qubits, which limits the efficient implementation of low-overhead quantum error correction and access to a wide range of physical models using analog quantum simulation. This challenge can be overcome by introducing non-local degrees of freedom. For example, photons in a shared channel between qubits can mediate long-range qubit-qubit coupling arising from light-matter interaction. In addition, constructing a scalable architecture requires this channel to be intrinsically extensible, in which case a one-dimensional waveguide is an ideal structure providing the extensible direction as well as strong light-matter interaction. In this thesis, we explore superconducting circuit architectures based on light-matter interactions in waveguide quantum electrodynamics (QED) systems. These architectures in return allow us to study light-matter interaction, demonstrating strong coupling in the open environment of a waveguide by employing sub-radiant states resulting from collective effects. We further engineer the waveguide dispersion to enter the topological photonics regime, exploring interactions between qubits that are mediated by photons with topological properties. Finally, towards the goals of quantum information processing and simulation, we settle into a multi-qubit architecture where the photon-mediated interaction between qubits exhibits tunable range and strength. We use this multi-qubit architecture to construct a lattice with tunable connectivity for strongly interacting microwave photons, synthesizing a quantum many-body model to explore chaotic dynamics. The architectures in this thesis introduce scalable beyond-NN coupling between superconducting qubits, opening the door to the exploration of many-body physics with long-range coupling and efficient implementation of quantum information processing protocols.</p

    Design and characterisation of monolithic CMOS detectors for high energy particle physics and SEU radiation tests for ATLAS Inner Tracker Upgrade readout chip

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    This thesis covers the characterisation results and the design of monolithic CMOS detectors designed in TowerJazz 180nm CMOS technology for High Energy Particle Physics applications. Three different detectors have been studied the MALTA, the Mini-MALTA and the MALTA2. The MALTA sensor showed some efficiency losses at the corners of the pixels after irradiation, which meant that it was not suitable for the radiation environments in which it was supposed to be installed. Therefore, the front-end electronics and the fabrication process were modified to overcome this issue. The Mini-MALTA prototype was designed including the above mentioned improvements, fabricated and fully characterised. Finally taking into account all the knowledge acquired during these years of developments another large scale sensor the MALTA2 has been produced which should be radiation tolerant and have very good time resolution. The description and studies of the different architectures used in this family of detectors are covered and a simulation to estimate the bandwidth capabilities have been reported. Furthermore, this work will present characterisation of single event effects in the ITkPixV1, the prototype version of the ATLAS Inner Tracker Upgrade chip for the High Luminosity LHC. Measurements were made in testbeam campaigns with high energy ions and protons to evaluate the level of single event effects in the chip

    Production and characterisation of dipolar Bose–Einstein condensates

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    Remarkable progress in the field of ultracold atoms has enabled the study of a great variety of topics in many-body quantum mechanics. The precise control of key parameters, such as interactions, temperature, density, internal and external degrees of freedom, dimensionality and the trapping geometry makes them a powerful and flexible experimental platform. The ability to create degenerate samples of atoms which feature long-range and anisotropic dipole–dipole interactions besides the more conventional short-range and isotropic contact interactions drew considerable attention, enabling the creation of quantum droplets and a supersolid phase. This thesis reports on experimental and theoretical progress in investigating dipolar many-body quantum systems. We present an overview of our experimental apparatus and the techniques used for obtaining a Bose–Einstein condensate (BEC) of erbium. We then discuss our experimental sequence for producing a quantum degenerate gas, creating a quasi-pure BEC with 2.2 x 10^5 atoms. To optimise the production of erbium BECs, we explore density- and temperature-dependent losses in 166Er and identify six previously unreported resonant loss features. Finally, to enable studies of density-dependent phenomena, we present a theoretical investigation of dipolar condensates in box-like traps, where we explore stability and how one can use it to replicate properties of an infinite, homogeneous system to study dipolar physics. We found that traps with hard walls trigger roton-like density oscillations even if the bulk of the system is far from the roton regime, so smoother potentials are better suited to recreate homogeneous conditions. This sets the ground for future experiments, where the atoms will be loaded into a box trap to enable studies of systems which are tightly trapped in one direction but homogeneous in the other two

    An efficient quantum memory in 167Er3+:Y2SiO5

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    This thesis investigates whether a quantum memory suitable for quantum communication applications can be developed using an erbium doped crystal. To assess the potential of the storage material, 167Er3+:Y2SiO5, the performance of two quantum memory protocols are characterised, the Atomic Frequency Comb (AFC) and Rephased Amplified Spontaneous Emission (RASE). As such, this work is a spiritual successor to two previous PhD projects, Kate Ferguson's non-classical demonstration of the RASE protocol using praseodymium, and Milos Rancic's high resolution spectroscopy and demonstration of long hyperfine coherence times in erbium. A telecom compatible quantum memory is vital for the DLCZ quantum repeater protocol, a critical device for quantum communications networks. A quantum memory designed for communications networks will need to meet several requirements: operate in the fibre optic telecommunications band, high recall efficiency, long storage time, and high bandwidth. Erbium is of interest as it has an optical transition within the telecommunications C-band (1530-1565 nm) and Rancic's thesis demonstrated the hyperfine coherence time needed for long storage times, 1.3 s. However, efficient quantum memories using erbium have not been demonstrated to date. This thesis will present an efficient quantum memory using erbium and discuss a pathway to demonstrate all the above criteria simultaneously. Techniques that were developed in Rancic's thesis are expanded in this thesis to create a new memory preparation process. The preparation process uses the long hyperfine lifetimes and large hyperfine splittings found in 167Er3+:Y2SiO5. Using this preparation, two quantum memory protocols were demonstrated, the Atomic Frequency Comb (AFC) and Rephased Amplified Spontaneous Emission (RASE), from Ferguson's thesis. In the AFC experiments, non-classical storage was demonstrated with a delay time of 0.66 us, an efficiency of 22%, and a bandwidth of 6 MHz. In the RASE experiments, an efficiency of 47% was demonstrated with a spin-state storage time of 27 us, and the potential to store 40 temporal modes. The initial results have shown orders of magnitude increases in storage times and efficiency over previous erbium memories. However, the efficiencies shown are not high enough for a quantum repeater demonstration. Cavity-enhancement offers a way to increase the efficiencies of both the AFC and RASE demonstrations. In the AFC chapter, cavity enhancement was discussed as a way to increase the efficiency, theoretically, to 96.6% with a 100 MHz bandwidth. These predicted efficiencies and bandwidths, using erbium, would meet three of the requirements needed for applications in a communications network, while Rancic has already demonstrated the remaining requirement in the same material. The next step for this work will be to realise the predicted efficiency and bandwidth, and then implement hyperfine rephasing for long storage times. In summary, this thesis expands on the works of Ferguson and Rancic to demonstrate quantum memories based in erbium. The demonstrations are promising so far, and proposed improvements to the experiment suggest that a quantum memory fit for quantum networks applications is possible. Furthermore, a pathway to an improved quantum memory is presented. Such a memory could be used in an initial quantum repeater demonstration

    Graphonomics and your Brain on Art, Creativity and Innovation : Proceedings of the 19th International Graphonomics Conference (IGS 2019 – Your Brain on Art)

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    [Italiano]: “Grafonomia e cervello su arte, creatività e innovazione”. Un forum internazionale per discutere sui recenti progressi nell'interazione tra arti creative, neuroscienze, ingegneria, comunicazione, tecnologia, industria, istruzione, design, applicazioni forensi e mediche. I contributi hanno esaminato lo stato dell'arte, identificando sfide e opportunità, e hanno delineato le possibili linee di sviluppo di questo settore di ricerca. I temi affrontati includono: strategie integrate per la comprensione dei sistemi neurali, affettivi e cognitivi in ambienti realistici e complessi; individualità e differenziazione dal punto di vista neurale e comportamentale; neuroaesthetics (uso delle neuroscienze per spiegare e comprendere le esperienze estetiche a livello neurologico); creatività e innovazione; neuro-ingegneria e arte ispirata dal cervello, creatività e uso di dispositivi di mobile brain-body imaging (MoBI) indossabili; terapia basata su arte creativa; apprendimento informale; formazione; applicazioni forensi. / [English]: “Graphonomics and your brain on art, creativity and innovation”. A single track, international forum for discussion on recent advances at the intersection of the creative arts, neuroscience, engineering, media, technology, industry, education, design, forensics, and medicine. The contributions reviewed the state of the art, identified challenges and opportunities and created a roadmap for the field of graphonomics and your brain on art. The topics addressed include: integrative strategies for understanding neural, affective and cognitive systems in realistic, complex environments; neural and behavioral individuality and variation; neuroaesthetics (the use of neuroscience to explain and understand the aesthetic experiences at the neurological level); creativity and innovation; neuroengineering and brain-inspired art, creative concepts and wearable mobile brain-body imaging (MoBI) designs; creative art therapy; informal learning; education; forensics
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