Publications by authors named "Kampel N"

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Article Synopsis
  • Neural fingerprinting identifies individuals through unique brain activity patterns, but traditional methods struggle with new subjects and limited sample sizes.
  • This study proposes using contrastive learning to avoid retraining and a data augmentation strategy to improve model performance with fewer samples, utilizing the LEMON dataset of 138 subjects.
  • Results indicate that the deep learning approach significantly enhances identification accuracy to around 98%, and the contrastive method proves flexible and robust, making it a promising solution for neural fingerprinting challenges.
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Neural fingerprinting is the identification of individuals in a cohort based on neuroimaging recordings of brain activity. In magneto- and electroencephalography (M/EEG), it is common practice to use second-order statistical measures, such as correlation or connectivity matrices, when neural fingerprinting is performed. These measures or features typically require coupling between signal channels and often ignore the individual temporal dynamics.

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An electro-optomechanical device capable of microwave-to-optics conversion has recently been demonstrated, with the vision of enabling optical networks of superconducting qubits. Here we present an improved converter design that uses a three-dimensional microwave cavity for coupling between the microwave transmission line and an integrated LC resonator on the converter chip. The new design simplifies the optical assembly and decouples it from the microwave part of the setup.

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The radiation pressure of light can act to damp and cool the vibrational motion of a mechanical resonator, but even if the light field has no thermal component, shot noise still sets a limit on the minimum phonon occupation. In optomechanical sideband cooling in a cavity, the finite off-resonant Stokes scattering defined by the cavity linewidth combined with shot noise fluctuations dictates a quantum backaction limit, analogous to the Doppler limit of atomic laser cooling. In our work, we sideband cool a micromechanical membrane resonator to the quantum backaction limit.

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Article Synopsis
  • The study explores how light-assisted collisions impact the coherence of momentum states in Bose-Einstein condensates, focusing on how superradiant Rayleigh scattering acts as a measure for this coherence.
  • A key finding reveals significant asymmetry in coherence loss rates, highlighting that condensates exposed to blue detuned light experience higher rates of coherence loss than earlier models predicted.
  • The researchers propose a simplified model to explain their findings and suggest new experimental methods to investigate interactions between light and matter in these systems.
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Capillary discharge Z pinches have been shown to be efficient drivers for x-ray lasers (XRLs). In this work we examine the possibility of realizing a H_{alpha} nitrogen recombination laser ( 3-->2 transition) at lambda=13.4nm , using a capillary discharge Z pinch.

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