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Human-centred physical neuromorphics with visual brain-computer interfaces
Steady-state visual evoked potentials (SSVEPs) are widely used for brain-computer interfaces (BCIs) as they provide a stable and efficient means to connect the computer to the brain with a simple flickering light. Previous studies focused on low-density frequency division multiplexing techniques, i.e. typically employing one or two light-modulation frequencies during a single flickering light stimulation.…
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Toward neuromorphic computing using longitudinal pulses in a fluid near phase transition
Longitudinal waves propagate information about the stimulus in multiple dimensions, including the medium density and pressure. Pulses that reversibly cross a phase transition have a nonlinear response that resembles properties of neuronal signaling. This multidimensionality suggests that longitudinal pulses may be harnessed for in-materio computation, mimicking biological or artificial neural algorithms. To explore a feedforward…
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Modeling beam propagation in a moving nonlinear medium
Fully describing light propagation in a rotating, anisotropic medium with thermal nonlinearity requires modeling the interplay between nonlinear refraction, birefringence, and the nonlinear group index. Incorporating these factors into a generalized nonlinear Schrödinger equation and fitting them to recent experimental results reveals two key relationships: the photon drag effect can have a nonlinear component that…
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Photon Number-Resolving Quantum Reservoir Computing
Neuromorphic processors improve the efficiency of machine learning algorithms through the implementation of physical artificial neurons to perform computations. However, whilst efficient classical neuromorphic processors have been demonstrated in various forms, practical quantum neuromorphic platforms are still in the early stages of development. Here we propose a fixed optical network for photonic quantum reservoir computing…
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Optimization of a Hydrodynamic Computational Reservoir through Evolution
As demand for computational resources reaches unprecedented levels, research is expanding into the use of complex material substrates for computing. In this study, we interface with a model of a hydrodynamic system, under development by a startup, as a computational reservoir and optimize its properties using an evolution in materio approach. Input data are encoded…
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A New Paradigm of Reservoir Computing Exploiting Hydrodynamics
Nonlinear waves have played a historical role in laying the foundations of the science of complexity. Recently, they have also allowed the development of a new reservoir computing paradigm: neuromorphic computing by waves. In these systems, the information transmission acts as the excitation of wave dynamics, whose evolution processes the information to perform complex tasks…
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Beam deflection and negative drag in a moving nonlinear medium
Light propagating in a moving medium with refractive index other than unity is subject to light drag. While the light drag effect due to the linear refractive index is often negligibly small, it can be enhanced in materials with a large group index. Here we show that the nonlinear refractive index can also play a…
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From Dispersive Hydrodynamics to Forecasting, Machine Learning and Back
Today I had amazing time in Cambridge at the Isaac Newton Institute for Mathematical Sciences! I had the honour to be invited to this beautiful workshop. Every talk enriched me scientifically and personally. The effort and time the scientific community is investing in making this world better, more sustainable and aware of the extreme events…
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Random Thoughts of Somebody Who Found Happiness in Science
Most of the time, science is slow.To determine if a statement is true, science needs rigor, which makes science boring and dry.To establish the regime of validity of that statement, science needs to be proven by statistical analysis and, when possible, theoretical models, which makes science repetitive and tiring.To claim that a statement is validated,…
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Anomalous Optical Drag
A moving dielectric medium can displace the optical path of light passing through it, a phenomenon known as the Fresnel-Fizeau optical drag effect. The resulting displacement is proportional to the medium’s velocity. In this article, we report on an anomalous optical drag effect, where the displacement is still proportional to the medium’s speed but along…
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Giulia's Nonlinear World 