Publications by authors named "S Sukhov"

Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning. In contrast, the brain can learn continuously without any signs of catastrophic forgetting. Spiking neural networks (SNNs) are the next generation of ANNs with many features borrowed from biological neural networks.

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When direct vision is obstructed, detecting an object usually involves either using mirrors or actively controlling some of the properties of light used for illumination. In our paradigm, we show that a highly scattering wall can transfer certain statistical properties of light, which, in turn, can assist in detecting objects even in non-line-of-sight conditions. We experimentally demonstrate that the transformation of spatial coherence during the reflection of light from a diffusing wall can be used to retrieve geometric information about objects hidden around a corner and assess their location.

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Specialized electromagnetic fields can be used for nanoparticle manipulation along a specific path, allowing enhanced transport and control over the particle's motion. In this paper, we investigate the optical forces produced by a curved photonic jet, otherwise known as the "photonic hook", created using an asymmetric cuboid. In our case, this cuboid is formed by appending a triangular prism to one side of a cube.

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The traditional Monte Carlo technique of photon transport in random media describes only single point properties of light, such as its intensity. Here we demonstrate an approach that extends these capabilities to simulations involving properties of spatial coherence, a two-point characteristic of light. Numerical experiments illustrate the use of this Monte Carlo technique for describing the propagation of partially spatially coherent light through random multiply scattering media.

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Spatial coherence function (SCF) is a complex function of two spatial coordinates that, in general, carries more information than the bare intensity distribution. A fast and quantitatively accurate measurement of the SCF is extremely important for a range of applications in optical sensing and imaging. Here, we demonstrate an efficient two-step procedure for measuring the full-field complex coherence function.

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