<p>Five example model neurons and their responses to the different chirp stimuli. The FI values for models 1 to 5 were 0.90, 0.79, 0.91, 0.77, and 0.89, respectively. Parameter values for models 1 to 5 where <i>σ</i><sub><i>B</i></sub> = 0.42, 0.41, 0.35, 0.40, 0.42; <i>I</i><sub><i>bias</i></sub> = -9.4, -6.6, -18.1, -5.2, -6.5 nA; <i>g</i><sub><i>syn</i></sub> = 0.10, 0.13, 0.16, 0.10, 0.09 μS; <i>g</i><sub><i>h</i></sub> = 0.24, 0, 0.48, 0.02, 0 μS; <i>g</i><sub><i>T</i></sub> = 2.10, 0, 3.99, 0, 5.6 μS. Other parameter values were the same as that indicated in the methods.</p
<p>Response type invariance across varying spontaneous rates (between 0–40 spk/s). Model parameters ...
<p>In (A-C) a single parameter is varied (two values are shown) and the coupling between model neuro...
<p>A: Gain and phase of the input filter as a function of frequency. The neuronal morphology varied...
<p><b>A.</b> Example data for two neurons with high (left) or low (right) response SNR. A validation...
<p>For each STRF, the color code represents “excitation” in red and “inhibition” in blue, units are ...
(A) Example of model fitting errors (sum of all feature errors) during optimization. (B) Initial par...
<p><b>A)</b> Schematic showing a fish with stimulation electrodes on each side as well as a recordin...
<p><b>A</b>. Noise fluctuations (black) superimposed on a short ramping input stimulus (red) with ri...
<p>Identical analyses were carried out as for the model data in the preceding figures. (<b>A</b>) Ac...
Raster plots for models with three different RFs (rows, A—C) in response to three different stimuli ...
Models of neocortical networks are increasingly including the diversity of excitatory and inhibitory...
<p>Classification of neuron-type [non-sync (o), sync (x), mixed (+), atypical (square)] across all t...
<p><b>A:</b> Illustration of the methodology used to differentiate between the responses to the beat...
A. A sample subset of the Gabor stimuli with a rich diversity of frequencies, orientations, and phas...
<p><b>A.</b> Histogram compares latency measured directly from the P3Z1 temporal filter for neurons ...
<p>Response type invariance across varying spontaneous rates (between 0–40 spk/s). Model parameters ...
<p>In (A-C) a single parameter is varied (two values are shown) and the coupling between model neuro...
<p>A: Gain and phase of the input filter as a function of frequency. The neuronal morphology varied...
<p><b>A.</b> Example data for two neurons with high (left) or low (right) response SNR. A validation...
<p>For each STRF, the color code represents “excitation” in red and “inhibition” in blue, units are ...
(A) Example of model fitting errors (sum of all feature errors) during optimization. (B) Initial par...
<p><b>A)</b> Schematic showing a fish with stimulation electrodes on each side as well as a recordin...
<p><b>A</b>. Noise fluctuations (black) superimposed on a short ramping input stimulus (red) with ri...
<p>Identical analyses were carried out as for the model data in the preceding figures. (<b>A</b>) Ac...
Raster plots for models with three different RFs (rows, A—C) in response to three different stimuli ...
Models of neocortical networks are increasingly including the diversity of excitatory and inhibitory...
<p>Classification of neuron-type [non-sync (o), sync (x), mixed (+), atypical (square)] across all t...
<p><b>A:</b> Illustration of the methodology used to differentiate between the responses to the beat...
A. A sample subset of the Gabor stimuli with a rich diversity of frequencies, orientations, and phas...
<p><b>A.</b> Histogram compares latency measured directly from the P3Z1 temporal filter for neurons ...
<p>Response type invariance across varying spontaneous rates (between 0–40 spk/s). Model parameters ...
<p>In (A-C) a single parameter is varied (two values are shown) and the coupling between model neuro...
<p>A: Gain and phase of the input filter as a function of frequency. The neuronal morphology varied...