550 research outputs found

    Solid-state circuit for spin entanglement generation and purification

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    We show how realistic charge manipulation and measurement techniques, combined with the exchange interaction, allow for the robust generation and purification of four-particle spin entangled states in electrically controlled semiconductor quantum dots. The generated states are immunized to the dominant sources of noise via a dynamical decoherence-free subspace; all additional errors are corrected by a purification protocol. This approach may find application in quantum computation, communication, and metrology.Comment: 5 pages, 2 figures; corrected minor typo

    Universality of Uhrig dynamical decoupling for suppressing qubit pure dephasing and relaxation

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    The optimal NN-pulse dynamical decoupling discovered by Uhrig for a spin-boson mmodel [Phys. Rev. Lett, {\bf 98}, 100504 (2007)] is proved to be universal in suppressing to O(TN+1)O(T^{N+1}) the pure dephasing or the longitudinal relaxation of a qubit (or spin-1/2) coupled to a generic bath in a short-time evolution of duration TT. It is also found that for the purpose of suppressing the longitudinal relaxation, an ideal Uhrig π\pi-pulse sequence can be generalized to a sequence consisting of the ideal one superimposed with finite-duration pulses satisfying certain symmetry requirements.Comment: 4 pages, 1 figure

    Structure Learning in a Sensorimotor Association Task

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    Learning is often understood as an organism's gradual acquisition of the association between a given sensory stimulus and the correct motor response. Mathematically, this corresponds to regressing a mapping between the set of observations and the set of actions. Recently, however, it has been shown both in cognitive and motor neuroscience that humans are not only able to learn particular stimulus-response mappings, but are also able to extract abstract structural invariants that facilitate generalization to novel tasks. Here we show how such structure learning can enhance facilitation in a sensorimotor association task performed by human subjects. Using regression and reinforcement learning models we show that the observed facilitation cannot be explained by these basic models of learning stimulus-response associations. We show, however, that the observed data can be explained by a hierarchical Bayesian model that performs structure learning. In line with previous results from cognitive tasks, this suggests that hierarchical Bayesian inference might provide a common framework to explain both the learning of specific stimulus-response associations and the learning of abstract structures that are shared by different task environments

    Distinct neurocomputational mechanisms support informational and socially normative conformity

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    A change of mind in response to social influence could be driven by informational conformity to increase accuracy, or by normative conformity to comply with social norms such as reciprocity. Disentangling the behavioural, cognitive, and neurobiological underpinnings of informational and normative conformity have proven elusive. Here, participants underwent fMRI while performing a perceptual task that involved both advice-taking and advice-giving to human and computer partners. The concurrent inclusion of 2 different social roles and 2 different social partners revealed distinct behavioural and neural markers for informational and normative conformity. Dorsal anterior cingulate cortex (dACC) BOLD response tracked informational conformity towards both human and computer but tracked normative conformity only when interacting with humans. A network of brain areas (dorsomedial prefrontal cortex (dmPFC) and temporoparietal junction (TPJ)) that tracked normative conformity increased their functional coupling with the dACC when interacting with humans. These findings enable differentiating the neural mechanisms by which different types of conformity shape social changes of mind

    Familiale Lebensführung bei Familien mit Kindern mit Autismus-Spektrum-Störungen

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    Die aktuelle Situation von Familien mit behinderten Kindern ist gekennzeichnet durch Veränderungen, die mit gesamtgesellschaftlichen Entwicklungen im Zusammenhang stehen. Ausgehend von einer Umbruchsituation in der Gesellschaft hin zur Lebensgestaltung von Individuen hat sich ein familialer Wandel vollzogen, der auch Familien mit Kindern mit Autismus Spektrum Störungen trifft. Die Forschung zum Thema Autismus wird intensiv und breit geführt. Jedoch gibt es bisher wenige Erkenntnisse wie Familien den heutigen Alltag inszenieren, damit sie den Bedürfnissen ihrer Kinder mit Autismus gerecht werden. Zentral bei der vorliegenden Untersuchung ist das Konzept der ‚Familialen Lebensführung‘, anhand dessen die Gestaltungsprozesse der Familie in Hinblick auf Koordination und Synchronisation des Familienlebens, der Ansprüche der einzelnen Familienmitglieder sowie die Organisation von Gemeinsamkeiten aufgezeigt werden. Diese qualitative Studie zeigt mittels episodischer Interviews und deren Auswertung nach der Methode der Qualitativen Inhaltsanalyse auf, dass z.B. durch die Notwendigkeit von Anpassung sowie dem Einsatz von bewussten Strategien zur Planung und Vereinbarkeit der Lebensführungen, sich die Prozesse hinsichtlich der Organisation und Aushandlung des Familienlebens verstärken. Die Ergebnisse führen u.a. zu der Forderung die familiale Lebensführung dieser Familien im Kontext der Unterstützungsleistungen vermehrt zu gewichten

    The control and training of single motor units in isometric tasks are constrained by a common input signal

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    Recent developments in neural interfaces enable the real-time and non-invasive tracking of motor neuron spiking activity. Such novel interfaces could provide a promising basis for human motor augmentation by extracting potentially high-dimensional control signals directly from the human nervous system. However, it is unclear how flexibly humans can control the activity of individual motor neurons to effectively increase the number of degrees of freedom available to coordinate multiple effectors simultaneously. Here, we provided human subjects (N = 7) with real-time feedback on the discharge patterns of pairs of motor units (MUs) innervating a single muscle (tibialis anterior) and encouraged them to independently control the MUs by tracking targets in a 2D space. Subjects learned control strategies to achieve the target-tracking task for various combinations of MUs. These strategies rarely corresponded to a volitional control of independent input signals to individual MUs during the onset of neural activity. Conversely, MU activation was consistent with a common input to the MU pair, while individual activation of the MUs in the pair was predominantly achieved by alterations in de-recruitment order that could be explained by history-dependent changes in motor neuron excitability. These results suggest that flexible MU recruitment based on independent synaptic inputs to single MUs is unlikely, although de-recruitment might reflect varying inputs or modulations in the neuron’s intrinsic excitability

    Influence of local fullerene orientation on the electronic properties of A3C60 compounds

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    We have investigated sodium containing fullerene superconductors Na2AC60, A = Cs, Rb, and K, by Na-23 nuclear magnetic resonance (NMR) spectroscopy at 7.5 T in the temperature range of 10 to 400 K. Despite the structural differences from the Rb3C60 class of fullerene superconductors, in these compounds the NMR line of the tetrahedrally coordinated alkali nuclei also splits into two lines (T and T') at low temperature. In Na2CsC60 the splitting occurs at 170 K; in the quenched cubic phase of Na2RbC60 and Na2KC60 we observe split lines at 80 K. Detailed investigations of the spectrum, spin-spin and spin-lattice relaxation as well as spin-echo double resonance (SEDOR) in Na2CsC60 we show that these two different tetrahedral sites are mixed on a microscopic scale. The T and T' sites differ in the orientation of first-neighbor C60 molecules. We present evidence that the orientations of neighboring molecules are uncorrelated. Thermally activated molecular reorientations cause an exchange between the T and T' sites and motional narrowing at high temperature. We infer the same activation energy, 3300 K, in the temperature range 125 to 300 K. The spin lattice relaxation rate is the same for T and T' down to 125 K but different below. Both the spin-lattice relaxation rate and Knight shift are strongly temperature dependent in the whole range investigated. We interpret this temperature variation by the effect of phonon excitations involving the rigid librational motion of the C60 molecules. By extending the understanding of the structure and molecular dynamics of C60 superconductors, these results may help in clarifying the effects of the structure on the superconducting properties.Comment: 13 pages, 10 figures, submitted to PR

    Principles of human movement augmentation and the challenges in making it a reality

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    Augmenting the body with artificial limbs controlled concurrently to one's natural limbs has long appeared in science fiction, but recent technological and neuroscientific advances have begun to make this possible. By allowing individuals to achieve otherwise impossible actions, movement augmentation could revolutionize medical and industrial applications and profoundly change the way humans interact with the environment. Here, we construct a movement augmentation taxonomy through what is augmented and how it is achieved. With this framework, we analyze augmentation that extends the number of degrees-of-freedom, discuss critical features of effective augmentation such as physiological control signals, sensory feedback and learning as well as application scenarios, and propose a vision for the field
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