Wave Function Backpropagation with Explicit Temporal-Interval Dynamics
Wave Function Backpropagation is introduced, a wave-parameterized learning formulation in which neural responses are represented by learnable amplitude, wavenumber, angular frequency, and phase and the present evidence supports the effectiveness of the wave representation.
Byunggu Yu, Justin Kim
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