<p>Illustration of the overlap between the eMTFs of neural STRF clusters and that of the response-constrained sustained objective model STRFs; class 9 comprised mostly noisy STRFs with an exceedingly broad eMTF and its contour is omitted here for clarity. The white contour corresponds to the model eMTF at the 65% level.</p
<p>Complete and overcomplete sparse coding models trained on spectrograms of speech predict Inferior...
<p>The examples shown here were drawn at random from an ensemble of 400 neurons, and the STRFs are s...
<p>Shown are STRFs learned by optimizing (A) the sustained objective function for and (B) the spar...
<p><b>.</b> In panels (A), (B), (C) and (E), the histograms show the distribution of model parameter...
<p>Each numbered row is an example neuron. (A) STRFs (top) and nonlinearities (bottom) for the LN mo...
<p>The green and red curves show mean performance on data sets with true neural signal (signal stren...
<p>(<b>A</b>)–(<b>C</b>) Top row: GLM STRFs estimated from recorded responses to ml noise (Kn) and s...
<p>(A) The average correlation coefficients of the rLN, BWT and HSMs, and of an HSM in which each ne...
<p>For each STRF, the color code represents “excitation” in red and “inhibition” in blue, units are ...
<p><b>A.</b> Example data for two neurons with high (left) or low (right) response SNR. A validation...
Spectro-Temporal Receptive Fields (STRFs) were estimated from both multi-unit sorted clusters and hi...
<p>A) <i>Left</i>: Example spike waveforms of MSNs and FSIs. <i>Right</i>: MSNs exhibit wider width,...
<p>Threshold of 0.5, minimum cluster size of 10. For each factor, the six largest clusters are shown...
<p><b>A</b>) Upper panels: population mean relative pseudo R<sup>2</sup> (100*) of CRF stimuli (firs...
<p><b>A.</b> STRF weight matrices (<i>H</i>) for the FIR, factorized, and parameterized models fit t...
<p>Complete and overcomplete sparse coding models trained on spectrograms of speech predict Inferior...
<p>The examples shown here were drawn at random from an ensemble of 400 neurons, and the STRFs are s...
<p>Shown are STRFs learned by optimizing (A) the sustained objective function for and (B) the spar...
<p><b>.</b> In panels (A), (B), (C) and (E), the histograms show the distribution of model parameter...
<p>Each numbered row is an example neuron. (A) STRFs (top) and nonlinearities (bottom) for the LN mo...
<p>The green and red curves show mean performance on data sets with true neural signal (signal stren...
<p>(<b>A</b>)–(<b>C</b>) Top row: GLM STRFs estimated from recorded responses to ml noise (Kn) and s...
<p>(A) The average correlation coefficients of the rLN, BWT and HSMs, and of an HSM in which each ne...
<p>For each STRF, the color code represents “excitation” in red and “inhibition” in blue, units are ...
<p><b>A.</b> Example data for two neurons with high (left) or low (right) response SNR. A validation...
Spectro-Temporal Receptive Fields (STRFs) were estimated from both multi-unit sorted clusters and hi...
<p>A) <i>Left</i>: Example spike waveforms of MSNs and FSIs. <i>Right</i>: MSNs exhibit wider width,...
<p>Threshold of 0.5, minimum cluster size of 10. For each factor, the six largest clusters are shown...
<p><b>A</b>) Upper panels: population mean relative pseudo R<sup>2</sup> (100*) of CRF stimuli (firs...
<p><b>A.</b> STRF weight matrices (<i>H</i>) for the FIR, factorized, and parameterized models fit t...
<p>Complete and overcomplete sparse coding models trained on spectrograms of speech predict Inferior...
<p>The examples shown here were drawn at random from an ensemble of 400 neurons, and the STRFs are s...
<p>Shown are STRFs learned by optimizing (A) the sustained objective function for and (B) the spar...
DOI
Add to ORKG