Ulrik R. Beierholm

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Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The brain, however, has to solve a more general problem: it also has to establish which signals come from the same source and should be integrated, and which ones do not and should be(More)
Two fundamental questions underlie the expression of behavior, namely what to do and how vigorously to do it. The former is the topic of an overwhelming wealth of theoretical and empirical work particularly in the fields of reinforcement learning and decision-making, with various forms of affective prediction error playing key roles. Although vigor concerns(More)
Behavioral studies have long shown that humans solve problems in two ways, one intuitive and fast (System 1, model-free), and the other reflective and slow (System 2, model-based). The neurobiological basis of dual process problem solving remains unknown due to challenges of separating activation in concurrent systems. We present a novel neuroeconomic task(More)
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Plankton is the base of aquatic food production, and plays a major role in the control of the global climate. Plankton ecologies have the puzzling property that many species coexist on a few basic resources, in contradiction to the competitive exclusion principle. Recently, plankton coexistence was explained in a theory that is based on finely-tuned(More)
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