<p>Power Density Spectrum (A) and Mean Power frequency (B) computed from the time series of the unit normal vector along AP and ML directions. Symbols unit in A and abbreviations as in Figs <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142423#pone.0142423.g002" target="_blank">2</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142423#pone.0142423.g003" target="_blank">3</a>.</p
<p>Power spectral density of the frequency filter as a function of the input frequency, for various ...
<p>Learning induces an increment of synaptic modifications that reach a maximum value near trial 80 ...
<p>The power spectrum is the Fourier transform of the effective learning window <i>W</i><sub>0</sub...
<p>Root Mean Square (A) and Approximate entropy (B) computed from the time series of the unit normal...
Each data point within each spectrum represents the across-participant average of log10 power within...
<p>The figure shows <i>t</i> values masked to time-frequency bins where the power differences betwee...
<p>Conventions as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000259#p...
<p>Conventions as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000259#p...
<p>Panel A depicts an increase 100–400 ms after S1 onset (dashed squares) before vs. after training,...
<p>Panel A depicts a decrease around S2 (300–800 ms after S1, dashed rectangles) before vs. after tr...
It has frequently been claimed that learning performance improves with practice according to the so-...
<p>(<b>A–D</b>) Spectrograms aligned to CS<sub>AP</sub> and CS<sub>AV</sub> and data depict group av...
<p>Mean timing coefficients of variation and fit of power law for the first 24 learning trials at th...
<p>A, Power spectral analysis of theta and gamma oscillations in the MD. Theta band oscillations inc...
<p>(<i>A-F</i>) Mean peak values (circles) and best fits (lines) of the spectral power corresponding...
<p>Power spectral density of the frequency filter as a function of the input frequency, for various ...
<p>Learning induces an increment of synaptic modifications that reach a maximum value near trial 80 ...
<p>The power spectrum is the Fourier transform of the effective learning window <i>W</i><sub>0</sub...
<p>Root Mean Square (A) and Approximate entropy (B) computed from the time series of the unit normal...
Each data point within each spectrum represents the across-participant average of log10 power within...
<p>The figure shows <i>t</i> values masked to time-frequency bins where the power differences betwee...
<p>Conventions as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000259#p...
<p>Conventions as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000259#p...
<p>Panel A depicts an increase 100–400 ms after S1 onset (dashed squares) before vs. after training,...
<p>Panel A depicts a decrease around S2 (300–800 ms after S1, dashed rectangles) before vs. after tr...
It has frequently been claimed that learning performance improves with practice according to the so-...
<p>(<b>A–D</b>) Spectrograms aligned to CS<sub>AP</sub> and CS<sub>AV</sub> and data depict group av...
<p>Mean timing coefficients of variation and fit of power law for the first 24 learning trials at th...
<p>A, Power spectral analysis of theta and gamma oscillations in the MD. Theta band oscillations inc...
<p>(<i>A-F</i>) Mean peak values (circles) and best fits (lines) of the spectral power corresponding...
<p>Power spectral density of the frequency filter as a function of the input frequency, for various ...
<p>Learning induces an increment of synaptic modifications that reach a maximum value near trial 80 ...
<p>The power spectrum is the Fourier transform of the effective learning window <i>W</i><sub>0</sub...