Computationally Efficient Neural Field Dynamics


We propose a modification of the dynamic neural field model of Amari [1], aiming at reducing the simulation effort by employing spaceand frequency representations of the dynamic state in parallel. Additionally, we show how the correct treatment of boundary conditions (wraparound, zero-padding) can be ensured, which is of particular importance for, e.g… (More)

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