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 (RCU) 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 (RCU) 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 ). <EOS>