ERC FUNDED PROJECTS

Learning to read is probably one of the most exciting discoveries in our life. Using a longitudinal approach, the research proposed examines how the human brain responds to two major challenges: (a) the instantiation a complex cognitive function for which there is no genetic blueprint (learning to read in a first language, L1), and (b) the accommodation to new statistical regularities when learning to read in a second language (L2). The aim of the present research project is to identify the neural substrates of the reading process and its constituent cognitive components, with specific attention to individual differences and reading disabilities; as well as to investigate the relationship between specific cognitive functions and the changes in neural activity that take place in the course of learning to read in L1 and in L2. The project will employ a longitudinal design. We will recruit children before they learn to read in L1 and in L2 and track reading development with both cognitive and neuroimaging measures over 24 months. The findings from this project will provide a deeper understanding of (a) how general neurocognitive factors and language specific factors underlie individual differences – and reading disabilities– in reading acquisition in L1 and in L2; (b) how the neuro-cognitive circuitry changes and brain mechanisms synchronize while instantiating reading in L1 and in L2; (c) what the limitations and the extent of brain plasticity are in young readers. An interdisciplinary and multi-methodological approach is one of the keys to success of the present project, along with strong theory-driven investigation. By combining both we will generate breakthroughs to advance our understanding of how literacy in L1 and in L2 is acquired and mastered. The research proposed will also lay the foundations for more applied investigations of best practice in teaching reading in first and subsequent languages, and devising intervention methods for reading disabilities.

2 487 000 €

Start date: 2012-05-01, End date: 2017-04-30

Despite intense research efforts in almost every branch of the natural sciences, cancer continues to be one of the leading causes of death worldwide. It is thus remarkable that little or no therapeutic use has been made of a whole discipline, heterogeneous catalysis, which is noted for its specificity and for enabling chemical reactions in otherwise passive environments. At least in part, this could be attributed to practical difficulties: the selective delivery of a catalyst to a tumour and the remote activation of its catalytic function only after it has reached its target are highly challenging objectives. Only recently, the necessary tools to overcome these problems seem within reach. CADENCE aims for a breakthrough in cancer therapy by developing a new therapeutic concept. The central hypothesis is that a growing tumour can be treated as a special type of reactor in which reaction conditions can be tailored to achieve two objectives: i) molecules essential to tumour growth are locally depleted and ii) toxic, short-lived products are generated in situ. To implement this novel approach we will make use of core concepts of reactor engineering (kinetics, heat and mass transfer, catalyst design), as well as of ideas borrowed from other areas, mainly those of bio-orthogonal chemistry and controlled drug delivery. We will explore two different strategies (classical EPR effect and stem cells as Trojan Horses) to deliver optimized catalysts to the tumour. Once the catalysts have reached the tumour they will be remotely activated using near-infrared (NIR) light, that affords the highest penetration into body tissues. This is an ambitious project, addressing all the key steps from catalyst design to in vivo studies. Given the novel perspective provided by CADENCE, even partial success in any of the approaches to be tested would have a significant impact on the therapeutic toolbox available to treat cancer.

2 483 136 €

Start date: 2017-09-01, End date: 2022-08-31

The idea of harnessing living organisms for treating human diseases is not new but, so far, the majority of the living vectors used in human therapy are viruses which have the disadvantage of the limited number of genes and networks that can contain. Bacteria allow the cloning of complex networks and the possibility of making a large plethora of compounds, naturally or through careful redesign. One of the main limitations for the use of bacteria to treat human diseases is their complexity, the existence of a cell wall that difficult the communication with the target cells, the lack of control over its growth and the immune response that will elicit on its target. Ideally one would like to have a very small bacterium (of a mitochondria size), with no cell wall, which could be grown in Vitro, be genetically manipulated, for which we will have enough data to allow a complete understanding of its behaviour and which could live as a human cell parasite. Such a microorganism could in principle be used as a living vector in which genes of interests, or networks producing organic molecules of medical relevance, could be introduced under in Vitro conditions and then inoculated on extracted human cells or in the organism, and then become a new organelle in the host. Then, it could produce and secrete into the host proteins which will be needed to correct a genetic disease, or drugs needed by the patient. To do that, we need to understand in excruciating detail the Biology of the target bacterium and how to interface with the host cell cycle (Systems biology aspect). Then we need to have engineering tools (network design, protein design, simulations) to modify the target bacterium to behave like an organelle once inside the cell (Synthetic biology aspect). M.pneumoniae could be such a bacterium. It is one of the smallest free-living bacterium known (680 genes), has no cell wall, can be cultivated in Vitro, can be genetically manipulated and can enter inside human cells.

2 400 000 €

Start date: 2009-03-01, End date: 2015-02-28

There is a fast-growing interest in extending the capabilities of computing systems to perform human-like tasks in an intelligent way. These technologies are usually referred to as cognitive computing. We envision a next revolution in computing in the forthcoming years that will be driven by deploying many “intelligent” devices around us in all kind of environments (work, entertainment, transportation, health care, etc.) backed up by “intelligent” servers in the cloud. These cognitive computing systems will provide new user experiences by delivering new services or improving the operational efficiency of existing ones, and altogether will enrich our lives and our economy. A key characteristic of cognitive computing systems will be their capability to process in real time large amounts of data coming from audio and vision devices, and other type of sensors. This will demand a very high computing power but at the same time an extremely low energy consumption. This very challenging energy-efficiency requirement is a sine qua non to success not only for mobile and wearable systems, where power dissipation and cost budgets are very low, but also for large data centers where energy consumption is a main component of the total cost of ownership. Current processor architectures (including general-purpose cores and GPUs) are not a good fit for this type of systems since they keep the same basic organization as early computers, which were mainly optimized for “number crunching”. CoCoUnit will take a disruptive direction by investigating unconventional architectures that can offer orders of magnitude better efficiency in terms of performance per energy and cost for cognitive computing tasks. The ultimate goal of this project is to devise a novel processing unit that will be integrated with the existing units of a processor (general-purpose cores and GPUs) and altogether will be able to deliver cognitive computing user experiences with extremely high energy-efficiency.

2 498 661 €

Start date: 2019-09-01, End date: 2025-02-28

Current IT research does not respond to the world's multi-cultural reality. It could be argued that we are imposing the paradigms of our market-driven western culture also on IT and that current IT research results will only facilitate the access of a small part of the world’s information to a small part of the world's population. Most IT research is being carried out with a western centred approach and as a result, our data models, cognition models, user models, interaction models, ontologies, … are all culturally biased. This fact is quite evident in music information research, since, despite the world's richness in musical cultures, most of the research is centred on CDs and metadata of our western commercial music. CompMusic wants to break this huge research bias. By approaching musical information modelling from a multicultural perspective it aims at advancing our state of the art while facilitating the discovery and reuse of the music produced outside the western commercial context. But the development of computational models to address the world’s music information richness cannot be done from the West looking out; we have to involve researchers and musical experts immersed in the different cultures. Their contribution is fundamental to develop the appropriate multicultural musicological and cognitive frameworks from which we should then carry our research on finding appropriate musical features, ontologies, data representations, user interfaces and user centred approaches. CompMusic will investigate some of the most consolidated non-western classical music traditions, Indian (hindustani, carnatic), Turkish-Arab (ottoman, andalusian), and Chinese (han), developing the needed computational models to bring their music into the current globalized information framework. Using these music cultures as case studies, cultures that are alive and have a strong influence in current society, we can develop rich information models that can take advantage of the existing information coming from musicological and cultural studies, from mature performance practice traditions and from active social contexts. With this approach we aim at challenging the current western centred information paradigms, advance our IT research, and contribute to our rich multicultural society.

2 443 200 €

Start date: 2011-07-01, End date: 2017-06-30

"Perceptions, memories, emotions, and everything that makes us human, demand the flexible integration of information represented and computed in a distributed manner. The human brain is structured into a large number of areas in which information and computation are highly segregated. Normal brain functions require the integration of functionally specialized but widely distributed brain areas. Furthermore, human behavior entails a flexible task- dependent interplay between different subsets of these brain areas in order to integrate them according to the corresponding goal-directed requirements. We contend that the functional and encoding roles of diverse neuronal populations across areas are subject to intra- and inter-cortical dynamics. More concretely, we hypothesize that coherent oscillations within frequency-specific large-scale networks and coherent structuring of the underlying fluctuations are crucial mechanisms for the flexible integration of distributed processing and interaction of representations. The project aims to elucidate precisely the interplay and mutual entrainment between local brain area dynamics and global network dynamics and their breakdown in brain diseases. We wish to better understand how segregated distributed information and processing are integrated in a flexible and context-dependent way as required for goal-directed behavior. It will allow us to comprehend the mechanisms underlying brain functions by complementing structural and activation based analyses with dynamics. We expect to gain a full explanation of the mechanisms that mediate the interactions between global and local spatio-temporal patterns of activity revealed at many levels of observations (fMRI, EEG, MEG) in humans under task and resting conditions, complemented and further constrained by using more detailed characterization of brain dynamics via Local Field Potentials and neuronal recording in animals under task and resting conditions."

2 467 530 €

Start date: 2012-07-01, End date: 2017-06-30

With eNANO I will introduce a disruptive approach toward controlling and understanding the dynamical response of material nanostructures, expanding nanoscience and nanotechnology in unprecedented directions. Specifically, I intend to inaugurate the field of free-electron nanoelectronics, whereby electrons evolving in the vacuum regions defined by nanostructures will be generated, guided, and sampled at the nanoscale, thus acting as probes to excite, detect, image, and spectrally resolve polaritonic modes (e.g., plasmons, optical phonons, and excitons) with atomic precision over sub-femtosecond timescales. I will exploit the wave nature of electrons, extending the principles of nanophotonics from photons to electrons, therefore gaining in spatial resolution (by relying on the large reduction in wavelength) and strength of interaction (mediated by Coulomb fields, which in contrast to photons render nonlinear interactions ubiquitous when using free electrons). I will develop the theoretical and computational tools required to investigate this unexplored scenario, covering a wide range of free-electron energies, their elastic interactions with the material atomic structures, and their inelastic coupling to nanoscale dynamical excitations. Equipped with these techniques, I will further address four challenges of major scientific interest: (i) the fundamental limits to the space, time, and energy resolutions achievable with free electrons; (ii) the foundations and feasibility of pump-probe spectral microscopy at the single-electron level; (iii) the exploration of quantum-optics phenomena by means of free electrons; and (iv) the unique perspectives and potential offered by vertically confined free-electrons in 2D crystals. I will face these research frontiers by combining knowledge from different areas through a multidisciplinary theory group, in close collaboration with leading experimentalists, pursuing a radically new approach to study and control the nanoworld.

1 899 788 €

Start date: 2018-12-01, End date: 2023-11-30

The goal of GRIFFIN is the derivation of a unified framework with methods, tools and technologies for the development of flying robots with dexterous manipulation capabilities. The robots will be able to fly minimizing energy consumption, to perch on curved surfaces and to perform dexterous manipulation. Flying will be based on foldable wings with flapping capabilities. They will be able to safely operate in sites where rotorcrafts cannot do it and physically interact with people. Dexterous manipulation will be performed maintaining fixed contact with a surface, such as a pole or a pipe, by means of one or more limbs and manipulating with others overcoming the limitations of dexterous manipulation in free flying of existing aerial manipulators. Compliance will play an important role in these robots and in their flight and manipulation control methods. The control systems will be based on appropriate kinematic, dynamic and aerodynamic models. The GRIFFIN robots will have autonomous perception, reactivity and planning based on these models. They will be also able to associate with others to perform cooperative manipulation tasks. New software tools will be developed to facilitate the design and implementation of these complex robotic systems. Thus, configurations with different complexity could be derived depending on the requirements of flight endurance and manipulation tasks from simple grasping to more complex dexterous manipulation. The implementation will be based on additive and shape deposition manufacturing to fabricate multi-material parts and parts with embedded electronics and sensors. In GRIFFIN we will develop a small flapping wings proof of concept prototype which will be able to land autonomously on a small surface by using computer vision, a manipulation system with the body attached to a pole, and finally full size prototypes which will demonstrate flying, landing and manipulation, including cooperative manipulation, by maintaining the equilibrium.

2 499 750 €

Start date: 2018-11-01, End date: 2023-10-31

We propose to engineer stable-highly luminescent heterostructures based on defect tolerant benign perovskites and their integration into efficient planar/thin film optoelectronic devices. Primary targeted devices are: blue and white planar electroluminescent devices, high efficiency solar cells and electrically pumped lasers. We will use processing methods that are compatible with large area industrial processes, in particular focusing on vapour deposition using thermal sublimation of the perovskite precursors. The boundaries of this simple, scalable and economic coating method will be determined using an advanced real time in-situ optical monitoring system based on hyperspectral imaging. This tool will unveil the limits and processing conditions for the preparation of uniform and very thin (< 10 nm) crystalline thin-film semiconductors. We will also attempt to replace the toxic lead in today’s most studied perovskite materials, by less toxic materials such as tin and silver/bismuth mixtures. Here vacuum based processing is beneficial in view of the limited air-stability and solubility of their pre-cursor salts. Accurate vapour deposition methods will allow the fabrication of perovskites in multiple layered heterostructures (MLH) that passivate the perovskite crystal boundaries. This will increase their thermal and structural stability and above all their photoluminescence efficiency. With the sophisticated processing control, multiple quantum wells (MQWs) will be engineered. MQWs are promising for light-emitting devices, in particular for lasers. The impact of the project is large on various fields ranging from processes, materials and device engineering, physics, and energy. High efficiency, planar LEDs and solar cells, can shift the energy landscape and strongly help to meet the worlds CO2 reduction targets. The demonstration of electrically pumped lasing in easily processed thin film semiconductors will generate so far un-available fields of science.

2 499 175 €

Start date: 2019-09-01, End date: 2024-08-31