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Aarhus University
Country: Denmark
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957 Projects, page 1 of 192
  • Funder: EC Project Code: 255597
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  • Funder: EC Project Code: 846146
    Overall Budget: 219,312 EURFunder Contribution: 219,312 EUR

    A chemical reaction is often an unsolved maze game: we know where it starts and ends, but the path followed is a question that remains. Time-resolved imaging of molecular dynamics, therefore, is of primary interest. To solve aforementioned, we miss a sub-Ångström spatial and sub-femtosecond temporal resolution imaging scheme that can probe both nuclei and electrons. In this project TiMoleS, I propose to lay the theoretical and conceptual groundwork for such an imaging tool that can monitor molecular reaction and accompanying electron dynamics. This will be done by letting the target molecule to image by itself via two coexisting strong field processes termed laser-induced electron diffraction and laser-induced electron holography. I intend to use these processes in a complementary way to image nuclear dynamics as well as the electron cloud evolution. Through well-organized work packages for rigorous theoretical and computational developments and by collaborating with specialists of the domain, I propose to surmount difficulties linked with these processes to realize ultrafast imaging. I will develop analytical models, numerical codes and optimal control schemes to come up with rather general imaging method for AB/AB2 molecules. It will give an excellent insight into photochemical reactions, various reaction pathways and control over reaction dynamics, like enhancing the desired reaction or even to prevent an undesired process. These control scheme developed for generalized probing of the dynamics will also accelerate our attempts to design ultrashort lasers in higher frequencies.

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  • Funder: EC Project Code: 850404
    Overall Budget: 1,490,520 EURFunder Contribution: 1,490,520 EUR

    Our understanding of the neural basis of human cognition and its relation to behaviour is limited by the extent to which we can observe its underlying components. Neural activity elicited by a given stimulus can be decomposed in parallel threads of cognitive computation, each specialising on a different aspect of the stimulus. Conventional methods are fundamentally limited to tease apart these components within the stimulus-specific brain activity, therefore obscuring our understanding of the underlying mechanisms. I will build a framework to distil these threads by modelling their (trial-by-trial) distinct spatiotemporal trajectories and the interaction between them. Furthermore, I propose that the way our brains process stimuli, and in particular how these different components organise and relate to each other, can be critical to characterise subjects at the psychological and clinical level. However, it is unclear how to relate these complex models of stimulus processing to the subject phenotypes. I will develop principled algorithms to automatically discover which specific aspects of the modelled brain activity are most relevant to the traits under study. In summary, this multidisciplinary project brings together modelling and prediction across different data modalities to offer a novel temporal analytic account of how different threads of brain activity give rise to cognition, and how the nature of these elements relates to population variability. I will tackle three important questions that are representative of the addressed methodological challenges: in the study of decision-making, the relation between value representation, decision-formation and attention; in sleep research, which specific aspects of the sleep cycle are most altered in insomniacs; in the field of pain perception, the disambiguation of nociception and salience, and how these diverge in chronic pain. Despite diverse, these questions are conceptually linked by ideas presented here.

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  • Funder: EC Project Code: 277767
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  • Funder: EC Project Code: 101107189
    Funder Contribution: 230,774 EUR

    “Understanding Psychological Impossibility” (UPI) will develop the first systematic account of psychological impossibility. To do this UPI will innovatively combine philosophical theorizing with empirical results from experimental philosophy, and the cognitive and brain sciences. In three work packages it will develop an 'a priori' account of psychological impossibility (WP1), examine this account using the methods of experimental philosophy (WP2), and then based on these results and normative considerations, such as whether the concept could issue discriminatory or prejudiced judgments, engineer a final account of psychological impossibility (WP3). UPI will radically improve our understanding of the relationship between people’s options, freedom, and moral responsibility, and provide the theoretical resources for ethical decision making when faced by people who have different affordances for choice and action. Understanding the way in which people do, or do not, shape their psychology with respect to psychological impossibility will advance our understanding of what happens when things go wrong, and when people develop psychologies that they do not want. Further, while our psychological impossibility judgments can do a lot of good, shaping our psychologies in a manner that is aligned with the true and good, they can also do a lot of harm. By understanding why we issue the psychological impossibility judgments that we do, we can then revise that understanding so that we do not prevent people from having access to equal opportunities to pursue their interests and the capacity to develop the kind of psychology that they want.

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