A neural network device comprising a recurrent neural network for processing the time-series input data (S (t)) that is implemented in electric digital or analogue hardware, comprising a plurality of n damped electrical harmonic oscillators (DHOi, i = 1 to n), n ≥ 8, the oscillation of each of which follows the general second order differential equation for damped harmonic oscillators of x i ( t): x i ( t) + 2 β i x i ( t) + ω 0 i 2 x i ( t) = 0 with β i = damping factor and ω 0i = natural frequency of an undamped oscillation with β i = R i /L i and ω 0i 2 = 1/L i C i, R i = resistance, L i = inductance and C i = capacity for a corresponding damped electrical RLC harmonic oscillator, each of the n damped electrical harmonic oscillators being one cell (nci) of the neural network, each cell (nci) having an input/output node (IO i) for receiving a cell input (x i) in form of an electric input of the corresponding damped electrical harmonic oscillator and for outputting the resulting damped harmonic oscillation (h i), the input/output node (IO i) comprising an input connection (IC i) adapted to receive any input to the cell and to output the same via a transistor implemented input (ICS i) for the corresponding damped electrical harmonic oscillator DHOi having a non-linear transfer function as the cell input (x i), and an output connection (OC i) adapted to output the resulting damped harmonic oscillation (h i), and a recurrent connection unit comprising, for each of the cells (c i), at least one connection (wi,j) between the input/output node (IO i) of the corresponding cell (nci) and the input/output node (IO j) of at least another one of the cells (ncj) for transmitting the resulting damped harmonic oscillation (h i) output from the input/output node (IO i) of the corresponding cell (nci) to the input/output node (IO j) of the another one of the cells (c j). a plurality of n damped electrical harmonic oscillators (DHOi, i = 1 to n), n ≥ 8, the oscillation of each of which follows the general second order differential equation for damped harmonic oscillators of x i ( t): x i ( t) + 2 β i x i ( t) + ω 0 i 2 x i ( t) = 0 with β i = damping factor and ω 0i = natural frequency of an undamped oscillation with β i = R i /L i and ω 0i 2 = 1/L i C i, R i = resistance, L i = inductance and C i = capacity for a corresponding damped electrical RLC harmonic oscillator, each of the n damped electrical harmonic oscillators being one cell (nci) of the neural network, each cell (nci) having an input/output node (IO i) for receiving a cell input (x i) in form of an electric input of the corresponding damped electrical harmonic oscillator and for outputting the resulting damped harmonic oscillation (h i), the input/output node (IO i) comprising an input connection (IC i) adapted to receive any input to the cell and to output the same via a transistor implemented input (ICS i) for the corresponding damped electrical harmonic oscillator DHOi having a non-linear transfer function as the cell input (x i), and an output connection (OC i) adapted to output the resulting damped harmonic oscillation (h i), and a recurrent connection unit comprising, for each of the cells (c i), at least one connection (wi,j) between the input/output node (IO i) of the corresponding cell (nci) and the input/output node (IO j) of at least another one of the cells (ncj) for transmitting the resulting damped harmonic oscillation (h i) output from the input/output node (IO i) of the corresponding cell (nci) to the input/output node (IO j) of the another one of the cells (c j).