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. 2007 Jun 29;3(6):e112. doi: 10.1371/journal.pcbi.0030112

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© 2007 Sprekeler et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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The power spectrum is the Fourier transform of the effective learning window W ₀, which in turn is the convolution of the learning window W and the EPSP ɛ. The figure shows the learning windows required for SFA for three different EPSP durations (τ = 4, 40, 400 ms). The maximal input frequency ν _max was 1 / (40 ms) in all plots.

Inline graphic — The power spectrum is the Fourier transform of the effective learning window W ₀, which in turn is the convolution of the learning window W and the EPSP ɛ. The figure shows the learning windows required for SFA for three different EPSP durations (τ = 4, 40, 400 ms). The maximal input frequency ν _max was 1 / (40 ms) in all plots.